7,958 results on '"Ahmad, F"'
Search Results
2. Study of socio-demographic profile of sexual assault survivors at a tertiary care centre
- Author
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Ahmad, F, Ali, K, and Saeed, S.
- Published
- 2023
- Full Text
- View/download PDF
3. Disinfectant Control in Drinking Water Networks: Integrating Advection-Dispersion-Reaction Models and Byproduct Constraints
- Author
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Elsherif, Salma M., Taha, Ahmad F., and Abokifa, Ahmed A.
- Subjects
Electrical Engineering and Systems Science - Systems and Control - Abstract
Effective disinfection is essential for maintaining water quality standards in distribution networks. Chlorination, as the most used technique, ensures safe water by maintaining sufficient chlorine residuals but also leads to the formation of disinfection byproducts (DBPs). These DBPs pose health risks, highlighting the need for chlorine injection control (CIC) by booster stations to balance safety and DBPs formation. Prior studies have followed various approaches to address this research problem. However, most of these studies overlook the changing flow conditions and their influence on the evolution of the chlorine and DBPs concentrations by integrating simplified transport-reaction models into CIC. In contrast, this paper proposes a novel CIC method that: (i) integrates multi-species dynamics, (ii) allows for a more accurate representation of the reaction dynamics of chlorine, other substances, and the resulting DBPs formation, and (iii) optimizes for the regulation of chlorine concentrations subject to EPA mandates thereby mitigating network-wide DBPs formation. The novelty of this study lies in its incorporation of time-dependent controllability analysis that captures the control coverage of each booster station. The effectiveness of the proposed CIC method is demonstrated through its application and validation via numerical case studies on different water networks with varying scales, initial conditions, and parameters.
- Published
- 2024
4. How many autonomous vehicles are required to stabilize traffic flow?
- Author
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Bahavarnia, MirSaleh and Taha, Ahmad F.
- Subjects
Electrical Engineering and Systems Science - Systems and Control - Abstract
Collective behavior of human-driven vehicles (HVs) results in the well-known stop-and-go waves potentially leading to higher fuel consumption and emissions. This letter investigates the stabilization of traffic flow via a minimum number of autonomous vehicles (AVs) subject to constraints on the control parameters. The unconstrained scenario has been well-studied in recent studies. The main motivation to investigate the constrained scenario is that, in reality, lower and upper bounds exist on the control parameters. For the constrained scenario, we optimally find the minimum number of required AVs (via computing the optimal lower bound on the AV penetration rate) to stabilize traffic flow for a given number of HVs. As an immediate consequence, we conclude that for a given number of AVs, the number of HVs in the stabilized traffic flow cannot be arbitrarily large in the constrained scenario unlike the unconstrained scenario studied in the literature. Using nonlinear optimization techniques, we systematically propose a procedure to compute the optimal lower bound on the AV penetration rate. Finally, we validate the theoretical results via numerical simulations. Numerical simulations suggest that by enlarging the constraint intervals, a smaller optimal lower bound on the AV penetration rate is attainable. However, it leads to a slower transient response due to a dominant pole closer to the origin.
- Published
- 2024
5. Multilinear Extensions in Submodular Optimization for Optimal Sensor Scheduling in Nonlinear Networks
- Author
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Kazma, Mohamad H. and Taha, Ahmad F.
- Subjects
Mathematics - Optimization and Control ,Electrical Engineering and Systems Science - Systems and Control - Abstract
Optimal sensing nodes selection in dynamic systems is a combinatorial optimization problem that has been thoroughly studied in the recent literature. This problem can be formulated within the context of set optimization. For high-dimensional nonlinear systems, the problem is extremely difficult to solve. It scales poorly too. Current literature poses combinatorial submodular set optimization problems via maximizing observability performance metrics subject to matroid constraints. Such an approach is typically solved using greedy algorithms that require lower computational effort yet often yield sub-optimal solutions. In this letter, we address the sensing node selection problem for nonlinear dynamical networks using a variational form of the system dynamics, that basically perturb the system physics. As a result, we show that the observability performance metrics under such system representation are indeed submodular. The optimal problem is then solved using the multilinear continuous extension. This extension offers a computationally scalable and approximate continuous relaxation with a performance guarantee. The effectiveness of the extended submodular program is studied and compared to greedy algorithms. We demonstrate the proposed set optimization formulation for sensing node selection on nonlinear natural gas combustion networks.
- Published
- 2024
6. The Use of Blogs as a Dynamic Curriculum
- Author
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International Society for Technology, Education and Science (ISTES) Organization and Ahmad F. Saad
- Abstract
In modern school education, the integration of technology has revolutionized traditional teaching methods and introduced innovative approaches to curriculum design. Class blogs and student blogs have emerged as dynamic web 2.0 tools that hold immense potential to transform the learning experience in schools. This abstract explores the utilization of class blogs and student blogs when both used as a dynamic curriculum strategy, highlighting their benefits, challenges, and implications for enabling active student engagement, collaborative learning, and the development of essential 21st-century skills. Class blogs, often managed by educators, offer a platform for disseminating course content, assignments, and supplementary materials that can be flexibly modified. The ability to integrate multimedia elements such as videos, images, and interactive quizzes further enhances the learning experience, catering to diverse learning styles and promoting deeper understanding. Additionally, student blogs empower learners to become content creators. These blogs provide students with a space to express their thoughts, reflect on their learning experiences, and share their insights with a wider audience. The use of both class blogs and student blogs to build a curriculum, when properly deployed, will promote active engagement and motivation by offering individualized and interactive learning environments. Blogs encourage the development of digital literacy skills and critical thinking, as students learn to navigate online platforms, create multimedia content, and evaluate digital sources. These skills are essential in the 21st-century workforce. However, challenges do exist in the implementation of class blogs and student blogs. Privacy and authentication of student's assignments in their own blogs which require educators to be creative in choosing assignments that promote differentiations. Educators must also devote time to train staff for this technology. [This paper was published in: "Proceedings of ICSES 2023--International Conference on Studies in Education and Social Sciences," ISTES Organization, 2023, pp. 319-333.]
- Published
- 2023
7. Modeling and Design Optimization of Looped Water Distribution Networks using MS Excel: Developing the Open-Source X-WHAT Model
- Author
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Gomes Jr., Marcus Nóbrega, Benites, Igor Matheus, Elsherif, Salma M., Taha, Ahmad F., and Giacomoni, Marcio H.
- Subjects
Electrical Engineering and Systems Science - Systems and Control - Abstract
Cost-effective water distribution network (WDN) design with acceptable pressure performance is crucial for the management of drinking water in cities. This paper presents a Microsoft Excel tool to model, simulate, and optimize WDNs with looped pipelines under steady-state incompressible flow simulations. Typically, the hardy-cross method is applied using spreadsheet calculations to estimate discharges. This method requires mass-conservative initial estimates and requires successive iterations to converge. In this paper, however, we develop an alternative method that uses the built-in solver capabilities of Excel, does not require initial mass-conservative estimation, and is free of flow corrections. The main objective of this paper is to develop an open-source accessible tool for simulating hydraulic networks also adapted for teaching and learning purposes. The governing equations and the mathematical basis for the hydraulic modeling of the system are mathematically described, considering the topology of the network, mass and energy conservation, cost of tank material, foundation, and cost of pumping energy to fill the tank. The use of this tool is encouraged at the undergraduate and graduate engineering levels, as it offers the opportunity to address complex concepts in a comprehensive way using a spreadsheet that does not require coding expertise. Hence, users can debug all cells and understand all equations used in the hydraulic model, as well as modify them. To demonstrate the model capabilities, three practical examples are presented, with the first one solved step by step, and the results are compared with the EPANET and with the results reported in the literature. Using the optimization method presented in this paper, it was possible to achieve a cost reduction of 151,790 USD (9.8% of the total cost) in a network that supplies a 44,416 population.
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- 2024
8. Structure-Preserving Model Order Reduction for Nonlinear DAE Models of Power Networks
- Author
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Nadeem, Muhammad and Taha, Ahmad F.
- Subjects
Electrical Engineering and Systems Science - Systems and Control - Abstract
This paper deals with the joint reduction of dynamic states (internal states of generator, solar, and loads, etc) and algebraic variables (states of the network e.g., voltage and phase angles) of a nonlinear differential-algebraic equation (NDAE) model of power networks. Traditionally, in the current literature of power systemmodel order reduction (MOR), the algebraic constraints are usually neglected and the power network is commonly modeled via a set of ordinary differential equations (ODEs) instead of NDAEs. Thus, reduction is usually carried out for the dynamic states only and the algebraic variables are kept intact. This leaves a significant part of the system's size and complexity unreduced. This paper addresses this aforementioned limitation, by jointly reducing both dynamic and algebraic variables. As compared to the literature the proposedMOR techniques herein are endowed with the following features: (i) no system linearization is required, (ii) requires no transformation to an equivalent or approximate ODE representation, (iii) guarantee that the reduced order model to be NDAE and thus preserves the differential-algebraic structure of original power system model, and (iv) can seamlessly reduce both dynamic and algebraic variables while maintaining high accuracy. Case studies performed on a 2000-bus power system reveal that the proposedMOR techniques are able to reduce system order while maintaining accuracy
- Published
- 2024
9. Stability And Uncertainty Propagation In Power Networks: A Lyapunov-based Approach With Applications To Renewable Resources Allocation
- Author
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Kazma, Mohamad and Taha, Ahmad F.
- Subjects
Electrical Engineering and Systems Science - Systems and Control - Abstract
The rapid increase in the integration of intermittent and stochastic renewable energy resources (RER) introduces challenging issues related to power system stability. Interestingly, identifying grid nodes that can best support stochastic loads from RER, has gained recent interest. Methods based on Lyapunov stability are commonly exploited to assess the stability of power networks. These strategies approach quantifying system stability while considering: (i) simplified reduced order power system models that do not model power flow constraints, or (ii) datadriven methods that are prone to measurement noise and hence can inaccurately depict stochastic loads as system instability. In this paper, while considering a nonlinear differential algebraic equation (NL-DAE) model, we introduce a new method for assessing the impact of uncertain renewable power injections on the stability of power system nodes/buses. The identification of stable nodes informs the operator/utility on how renewables injections affect the stability of the grid. The proposed method is based on optimizing metrics equivalent to the Lyapunov spectrum of exponents; its underlying properties result in a computationally efficient and scalable stable node identification algorithm for renewable energy resources allocation. The proposed method is validated on the IEEE 9-bus and 200-bus networks
- Published
- 2024
10. Real-time Regulation of Detention Ponds via Feedback Control: Balancing Flood Mitigation and Water Quality
- Author
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Gomes Jr, Marcus Nóbrega, Taha, Ahmad F., Rápallo, Luis Miguel C., Mendiondo, Eduardo M., and Giacomoni, Marcio H.
- Subjects
Electrical Engineering and Systems Science - Systems and Control - Abstract
Detention ponds can mitigate flooding and improve water quality by allowing the settlement of pollutants. Typically, they are operated with fully open orifices and weirs (i.e., passive control). Active controls can improve the performance of these systems: orifices can be retrofitted with controlled valves and spillways can have controllable gates. The real-time optimal operation of its hydraulic devices can be achieved with techniques such as Model Predictive Control (MPC). A distributed quasi-2D hydrologic-hydrodynamic coupled with a reservoir flood routing model is developed and integrated with an MPC algorithm to estimate the operation of valves and movable gates. The control optimization problem is adapted to switch from a flood-related algorithm focusing on mitigating floods to a heuristic objective function that aims to increase the detention time when no inflow hydrographs are predicted. The case studies show the potential of applying the methods developed in a catchment in Sao Paulo, Brazil. The performance of MPC compared to alternatives with either fully or partially open valves and gates are tested. Comparisons with HEC-RAS 2D indicate volume and peak flow errors of approximately 1.4% and 0.91% for the watershed module. Simulating two consecutive 10-year storms shows that the MPC strategy can achieve peak flow reductions of 79%. In contrast, passive control has nearly half of the performance. A 1-year continuous simulation results show that the passive scenario with 25% of the valves opened can treat 12% more runoff compared to the developed MPC approach, with an average detention time of approximately 6 hours. For the MPC approach, the average detention time is nearly 14 hours indicating that both control techniques can treat similar volumes; however, the proxy water quality for the MPC approach is enhanced due to the longer detention times.
- Published
- 2024
11. Observability for Nonlinear Systems: Connecting Variational Dynamics, Lyapunov Exponents, and Empirical Gramians
- Author
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Kazma, Mohamad H. and Taha, Ahmad F.
- Subjects
Electrical Engineering and Systems Science - Systems and Control - Abstract
Observability quantification is a key problem in dynamic network sciences. While it has been thoroughly studied for linear systems, observability quantification for nonlinear networks is less intuitive and more cumbersome. One common approach to quantify observability for nonlinear systems is via the Empirical Gramian (Empr-Gram) -- a generalized form of the Gramian of linear systems. In this technical note, we produce three new results. First, we establish that a variational form of nonlinear systems (computed via perturbing initial conditions) yields a so-called Variational Gramian (Var-Gram) that is equivalent to the classic Empr-Gram; the former being easier to compute than the latter. Via Lyapunov exponents derived from Lyapunov's direct method, the technical note's second result derives connections between existing observability measures and Var-Gram. The third result demonstrates the applicability of these new notions for sensor selection/placement in nonlinear systems. Numerical case studies demonstrate these three developments and their merits.
- Published
- 2024
12. On the Constrained CAV Platoon Control Problem
- Author
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Bahavarnia, MirSaleh, Ji, Junyi, Taha, Ahmad F., and Work, Daniel B.
- Subjects
Electrical Engineering and Systems Science - Systems and Control ,Mathematics - Optimization and Control - Abstract
The main objective of the connected and automated vehicle (CAV) platoon control problem is to regulate CAVs' position while ensuring stability and accounting for vehicle dynamics. Although this problem has been studied in the literature, existing research has some limitations. This paper presents two new theoretical results that address these limitations: (i) the synthesis of unrealistic high-gain control parameters due to the lack of a systematic way to incorporate the lower and upper bounds on the control parameters, and (ii) the performance sensitivity to the communication delay due to inaccurate Taylor series approximation. To be more precise, taking advantage of the wellknown Pade approximation, this paper proposes a constrained CAV platoon controller synthesis that (i) systematically incorporates the lower and upper bounds on the control parameters, and (ii) significantly improves the performance sensitivity to the communication delay. The effectiveness of the presented results is verified through conducting extensive numerical simulations. The proposed controller effectively attenuates the stop-and-go disturbance -- a single cycle of deceleration followed by acceleration -- amplification throughout the mixed platoon (consisting of CAVs and human-driven vehicles). Modern transportation systems will benefit from the proposed CAV controls in terms of effective disturbance attenuation as it will potentially reduce collisions.
- Published
- 2024
13. Quality-Aware Hydraulic Control in Drinking Water Networks via Controllability Proxies
- Author
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Elsherif, Salma M., Kazma, Mohamad H., and Taha, Ahmad F.
- Subjects
Electrical Engineering and Systems Science - Systems and Control - Abstract
The operation of water distribution networks is a complex procedure aimed at efficiently delivering consumers with adequate water quantity while ensuring its safe quality. An added challenge is the dependency of the water quality dynamics on the system's hydraulics, which influences the performance of the water quality controller. Prior research has addressed either solving the optimum operational hydraulic setting problem or regulating the water quality dynamics as separate problems. Additionally, there have been efforts to couple these two problems and solve one compact problem resulting in trade-offs between the contradictory objectives. In contrast, this paper takes a novel approach by examining the water quality dependency on the hydraulics from a control-theoretic standpoint. More specifically, we explore the influence of accountability for water quality controllability improvement when addressing the pump scheduling problem. We examine its effects on the cumulative cost of the interconnected systems as well as the subsequent performance of the water quality controller. To achieve this, we develop a framework that incorporates different controllability metrics within the operational hydraulic optimization problem; its aim is attaining an adequate level of water quality control across the system. We assess the aforementioned aspects' performance on various scaled networks with a wide range of numerical scenarios.
- Published
- 2024
14. The Use of Blogs as a Dynamic Curriculum
- Author
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Ahmad F. Saad
- Abstract
In modern school education, the integration of technology has revolutionized traditional teaching methods and introduced innovative approaches to curriculum design. Class blogs and student blogs have emerged as dynamic web 2.0 tools that hold immense potential to transform the learning experience in schools. This abstract explores the utilization of class blogs and student blogs when both used as a dynamic curriculum strategy, highlighting their benefits, challenges, and implications for enabling active student engagement, collaborative learning, and the development of essential 21st-century skills. Class blogs, often managed by educators, offer a platform for disseminating course content, assignments, and supplementary materials that can be flexibly modified. The ability to integrate multimedia elements such as videos, images, and interactive quizzes further enhances the learning experience, catering to diverse learning styles and promoting deeper understanding. Additionally, student blogs empower learners to become content creators. These blogs provide students with a space to express their thoughts, reflect on their learning experiences, and share their insights with a wider audience. The use of both class blogs and student blogs to build a curriculum, when properly deployed, will promote active engagement and motivation by offering individualized and interactive learning environments. Blogs encourage the development of digital literacy skills and critical thinking, as students learn to navigate online platforms, create multimedia content, and evaluate digital sources. These skills are essential in the 21st-century workforce. However, challenges do exist in the implementation of class blogs and student blogs. Privacy and authentication of student's assignments in their own blogs which require educators to be creative in choosing assignments that promote differentiations. Educators must also devote time to train staff for this technology. [For the full proceedings, see ED652261.]
- Published
- 2023
15. Learning for System Identification of NDAE-modeled Power Systems
- Author
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Mei, Wenjie, Nadeem, Muhammad, Bahavarnia, MirSaleh, and Taha, Ahmad F.
- Subjects
Electrical Engineering and Systems Science - Systems and Control ,Mathematics - Dynamical Systems - Abstract
System identification through learning approaches is emerging as a promising strategy for understanding and simulating dynamical systems, which nevertheless faces considerable difficulty when confronted with power systems modeled by differential-algebraic equations (DAEs). This paper introduces a neural network (NN) framework for effectively learning and simulating solution trajectories of DAEs. The proposed framework leverages the synergy between Implicit Runge-Kutta (IRK) time-stepping schemes tailored for DAEs and NNs (including a differential NN (DNN)). The framework enforces an NN to cooperate with the algebraic equation of DAEs as hard constraints and is suitable for the identification of the ordinary differential equation (ODE)-modeled dynamic equation of DAEs using an existing penalty-based algorithm. Finally, the paper demonstrates the efficacy and precision of the proposed NN through the identification and simulation of solution trajectories for the considered DAE-modeled power system.
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- 2023
16. A Review of Link Prediction Applications in Network Biology
- Author
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Musawi, Ahmad F. Al, Roy, Satyaki, and Ghosh, Preetam
- Subjects
Quantitative Biology - Molecular Networks ,Computer Science - Machine Learning ,Computer Science - Social and Information Networks - Abstract
In the domain of network biology, the interactions among heterogeneous genomic and molecular entities are represented through networks. Link prediction (LP) methodologies are instrumental in inferring missing or prospective associations within these biological networks. In this review, we systematically dissect the attributes of local, centrality, and embedding-based LP approaches, applied to static and dynamic biological networks. We undertake an examination of the current applications of LP metrics for predicting links between diseases, genes, proteins, RNA, microbiomes, drugs, and neurons. We carry out comprehensive performance evaluations on established biological network datasets to show the practical applications of standard LP models. Moreover, we compare the similarity in prediction trends among the models and the specific network attributes that contribute to effective link prediction, before underscoring the role of LP in addressing the formidable challenges prevalent in biological systems, ranging from noise, bias, and data sparseness to interpretability. We conclude the review with an exploration of the essential characteristics expected from future LP models, poised to advance our comprehension of the intricate interactions governing biological systems.
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- 2023
17. Robust Feedback Control of Power Systems with Solar Plants and Composite Loads
- Author
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Nadeem, Muhammad, Bahavarnia, MirSaleh, and Taha, Ahmad F.
- Subjects
Electrical Engineering and Systems Science - Systems and Control - Abstract
Due to the rapid developments in synchronized measurement technologies, there exist enormous opportunities to attenuate disturbances in future power grids with high penetration of renewables and complex load demands. To that end, this paper investigates the effectiveness of new robust feedback controllers for interconnected power systems with advanced power electronics-based models of photovoltaic (PV) power plants, composite load dynamics, and detailed higher-order synchronous generator models. Specifically, we design new, advanced control-theoretic wide-area controllers to improve the transient stability of nonlinear differential-algebraic models. Thorough simulation studies are carried out to assess the performance of the proposed controllers. Several fundamental questions on the proposed controllers' computational complexity and disturbance attenuation performance are raised and addressed. Simulation results demonstrate that with the proposed controllers as a secondary control layer, the overall transient stability and system robustness against load and renewables disturbances/uncertainties can be significantly improved compared to the state-of-the-art.
- Published
- 2023
18. A Taguchi-based hybrid multi-criteria decision-making approach for optimization of performance characteristics of diesel engine fuelled with blends of biodiesel-diesel and cerium oxide nano-additive
- Author
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Khanam, Sazia, Khan, Osama, Ahmad, Shafi, Sherwani, Ahmad F., Khan, Zahid A., Yadav, Ashok Kumar, and Ağbulut, Ümit
- Published
- 2024
- Full Text
- View/download PDF
19. On Updating Static Output Feedback Controllers Under State-Space Perturbation
- Author
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Bahavarnia, MirSaleh and Taha, Ahmad F.
- Subjects
Electrical Engineering and Systems Science - Systems and Control ,Mathematics - Optimization and Control - Abstract
In this paper, we propose a novel update of a nominal stabilizing static output feedback (SOF) controller for a perturbed linear system. In almost every classical feedback controller design problem, a stabilizing feedback controller is designed given a stabilizable unstable system. In realistic scenarios, the system model is usually imperfect and subject to perturbations. A typical approach to attenuate the impacts of such perturbations on the system stability is repeating the whole controller design procedure to find an updated stabilizing SOF controller. Such an approach can be inefficient and occasionally infeasible. Using the notion of minimum destabilizing real perturbation (MDRP), we construct a simple norm minimization problem (a least-squares problem) to propose an efficient update of a nominal stabilizing SOF controller that can be applied to various control engineering applications in the case of perturbed scenarios like abrupt changes or inaccurate system models. In particular, considering norm-bounded known or unknown perturbations, this paper presents updated stabilizing SOF controllers and derives sufficient stability conditions. Geometric metrics to quantitatively measure the approach's robustness are defined. Moreover, we characterize the corresponding guaranteed stability regions, and specifically, for the case of norm-bounded unknown perturbations, we propose non-fragility-based robust updated stabilizing SOF controllers. Through extensive numerical simulations, we assess the effectiveness of the theoretical results.
- Published
- 2023
20. State-Robust Observability Measures for Sensor Selection in Nonlinear Dynamic Systems
- Author
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Kazma, Mohamad H., Nugroho, Sebastian A., Haber, Aleksandar, and Taha, Ahmad F.
- Subjects
Electrical Engineering and Systems Science - Systems and Control ,Mathematics - Dynamical Systems ,Mathematics - Optimization and Control - Abstract
This paper explores the problem of selecting sensor nodes for a general class of nonlinear dynamical networks. In particular, we study the problem by utilizing altered definitions of observability and open-loop lifted observers. The approach is performed by discretizing the system's dynamics using the implicit Runge-Kutta method and by introducing a state-averaged observability measure. The observability measure is computed for a number of perturbed initial states in the vicinity of the system's true initial state. The sensor node selection problem is revealed to retain the submodular and modular properties of the original problem. This allows the problem to be solved efficiently using a greedy algorithm with a guaranteed performance bound while showing an augmented robustness to unknown or uncertain initial conditions. The validity of this approach is numerically demonstrated on a $H_{2}/O_{2}$ combustion reaction network., Comment: To Appear in the 62$^{\text{nd}}$ IEEE Conference on Decision and Control (CDC'2023), Singapore, Decemeber 2023
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- 2023
21. ODE Transformations of Nonlinear DAE Power Systems
- Author
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Kazma, Mohamad H. and Taha, Ahmad F.
- Subjects
Electrical Engineering and Systems Science - Systems and Control - Abstract
Dynamic power system models are instrumental in real-time stability, monitoring, and control. Such models are traditionally posed as systems of nonlinear differential algebraic equations (DAEs): the dynamical part models generator transients and the algebraic one captures network power flow. While the literature on control and monitoring for ordinary differential equation (ODE) models of power systems is indeed rich, that on DAE systems is \textit{not}. DAE system theory is less understood in the context of power system dynamics. To that end, this letter presents two new mathematical transformations for nonlinear DAE models that yield nonlinear ODE models whilst retaining the complete nonlinear DAE structure and algebraic variables. Such transformations make (more accurate) power system DAE models more amenable to a host of control and state estimation algorithms designed for ODE dynamical systems. We showcase that the proposed models are effective, simple, and computationally scalable.
- Published
- 2023
22. Revisiting the Optimal PMU Placement Problem in Multi-Machine Power Networks
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Kazma, Mohamad H. and Taha, Ahmad F.
- Subjects
Electrical Engineering and Systems Science - Systems and Control ,Mathematics - Optimization and Control - Abstract
To provide real-time visibility of physics-based states, phasor measurement units (PMUs) are deployed throughout power networks. PMU data enable real-time grid monitoring and control -- and are essential in transitioning to smarter grids. Various considerations are taken into account when determining the geographic, optimal PMU placements (OPP). This paper focuses on the control-theoretic, observability aspect of OPP. A myriad of studies have investigated observability-based formulations to determine the OPP within a transmission network. However, they have mostly adopted a simplified representation of system dynamics, ignored basic algebraic equations that model power flows, disregarded including renewables such as solar and wind, and did not model their uncertainty. Consequently, this paper revisits the observability-based OPP problem by addressing the literature's limitations. A nonlinear differential algebraic representation (NDAE) of the power system is considered. The system is discretized using various discretization approaches while explicitly accounting for uncertainty. A moving horizon estimation approach is explored to reconstruct the joint differential and algebraic initial states of the system, as a gateway to the OPP problem which is then formulated as a computationally tractable integer program (IP). Comprehensive numerical simulations on standard power networks are conducted to validate the different aspects of this approach and test its robustness to various dynamical conditions
- Published
- 2023
23. CAV Traffic Control to Mitigate the Impact of Congestion from Bottlenecks: A Linear Quadratic Regulator Approach and Microsimulation Study
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Vishnoi, Suyash C., Ji, Junyi, Bahavarnia, MirSaleh, Zhang, Yuhang, Taha, Ahmad F., Claudel, Christian G., and Work, Daniel B.
- Subjects
Electrical Engineering and Systems Science - Systems and Control - Abstract
This work investigates traffic control via controlled connected and automated vehicles (CAVs) using novel controllers derived from the linear-quadratic regulator (LQR) theory. CAV-platoons are modeled as moving bottlenecks impacting the surrounding traffic with their speeds as control inputs. An iterative controller algorithm based on the LQR theory is proposed along with a variant that allows for penalizing abrupt changes in platoons speeds. The controllers use the Lighthill-Whitham-Richards (LWR) model implemented using an extended cell transmission model (CTM) which considers the capacity drop phenomenon for a realistic representation of traffic in congestion. The impact of various parameters of the proposed controller on the control performance is analyzed. The effectiveness of the proposed traffic control algorithms is tested using a traffic control example and compared with existing proportional-integral (PI)- and model predictive control (MPC)- based controllers from the literature. A case study using the TransModeler traffic microsimulation software is conducted to test the usability of the proposed controller as well as existing controllers in a realistic setting and derive qualitative insights. It is observed that the proposed controller works well in both settings to mitigate the impact of the jam caused by a fixed bottleneck. The computation time required by the controller is also small making it suitable for real-time control.
- Published
- 2023
24. Sorta Solving the OPF by Not Solving the OPF: DAE Control Theory and the Price of Realtime Regulation
- Author
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Nadeem, Muhammad and Taha, Ahmad F.
- Subjects
Electrical Engineering and Systems Science - Systems and Control - Abstract
This paper presents a new approach to approximate the AC optimal power flow (ACOPF). By eliminating the need to solve the ACOPF every few minutes, the paper showcases how a realtime feedback controller can be utilized in lieu of ACOPF and its variants. By (i) forming the grid dynamics as a system of differential-algebraic equations (DAE) that naturally encode the non-convex OPF power flow constraints, (ii) utilizing DAELyapunov theory, and (iii) designing a feedback controller that captures realtime uncertainty while being uncertainty-unaware, the presented approach demonstrates promises of obtaining solutions that are close to the OPF ones without needing to solve the OPF. The proposed controller responds in realtime to deviations in renewables generation and loads, guaranteeing improvements in system transient stability, while always yielding approximate solutions of the ACOPF with no constraint violations. As the studied approach herein yields slightly more expensive realtime generator controls, the corresponding price of realtime control and regulation is examined. Cost comparisons with the traditional ACOPF are also showcased -- all via case studies on standard power networks.
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- 2023
25. The Impact of Stuttering Event Representation on Detection Performance.
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Abedal-Kareem Al-Banna, Hui Fang 0003, Ahmad F. Shubita, Mohammad Arafah, Amani Eqteeshat, and Saif B. Abuaisheh
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- 2024
- Full Text
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26. Technological and Societal Shifts in Virtual Worlds: A Comparative Perspective.
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Ahmad F. Shubita, Abedal-Kareem Al-Banna, and Nesreen Otoum
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- 2024
- Full Text
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27. Potential for H2 Generation Using 2D-g-C3N4 Nano-Photocatalysts
- Author
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Nazeer, A., Ahmad, F., Ahmad, S., Goel, Malti, editor, and Sen, Gautam, editor
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- 2024
- Full Text
- View/download PDF
28. Ground Improvement Techniques for Soft Soil
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Sharmeelee, S., Ahmad, F., di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Cui, Zhen-Dong, Series Editor, and Sabtu, Nuridah, editor
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- 2024
- Full Text
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29. Retraction Note: Towards superior structural, optical and magnetic properties, and ligand field effects of B2O3–ZnO–CoO glass doped with alkaline metal earth cations
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Ahmad, F., Amin, Hesham Y., and Hassan, Moukhtar A.
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- 2024
- Full Text
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30. IDSDeep-CCD: intelligent decision support system based on deep learning for concrete cracks detection
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Abualigah, Sayel M., Al-Naimi, Ahmad F., Sachdeva, Gagan, AlAmri, Omran, and Abualigah, Laith
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- 2024
- Full Text
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31. Hyperstability of the General Linear Functional Equation in Non-Archimedean Banach Spaces
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Shuja, Shujauddin, Embong, Ahmad F., and Ali, Nor M. M.
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- 2024
- Full Text
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32. Alginate-cotton blended aerogel fibers: synthesis, characterization, and oil/water separation
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Azam, F., Ahmad, F., Ahmad, S., Zafar, M. S., and Ulker, Z.
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- 2024
- Full Text
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33. Comprehensive Framework for Controlling Nonlinear Multi-Species Water Quality Dynamics
- Author
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Elsherif, Salma M., Taha, Ahmad F., Abokifa, Ahmed A., and Sela, Lina
- Subjects
Electrical Engineering and Systems Science - Systems and Control ,Mathematics - Optimization and Control - Abstract
Tracing disinfectant (e.g., chlorine) and contaminants evolution in water networks requires the solution of 1- D advection-reaction (AR) partial differential equations (PDEs). With the absence of analytical solutions in many scenarios, numerical solutions require high-resolution time- and spacediscretizations resulting in large model dimensions. This adds complexity to the water quality control problem. In addition, considering multi-species water quality dynamics rather than the single-species dynamics produces a more accurate description of the reaction dynamics under abnormal hazardous conditions (e.g., contamination events). Yet, these dynamics introduces nonlinear reaction formulation to the model. To that end, solving nonlinear 1-D AR PDEs in real time is critical in achieving monitoring and control goals for various scaled networks with a high computational burden. In this work, we propose a novel comprehensive framework to overcome the large-dimensionality issue by introducing different approaches for applying model order reduction (MOR) algorithms to the nonlinear system followed by applying real-time water quality regulation algorithm that is based on an advanced model to maintain desirable disinfectant levels in water networks under multi-species dynamics. The performance of this framework is validated using rigorous numerical case studies under a wide range of scenarios demonstrating the challenges associated with regulating water quality under such conditions.
- Published
- 2023
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34. The Effect of Using KWL (Know-Want-Learned) Strategy on Reading Comprehension of 5th Grade EFL Students in Kuwait
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AlAdwani, Amel, AlFadley, Anam, AlGasab, Maha, and Alnwaiem, Ahmad F.
- Abstract
Metacognitive reading strategies play an essential role in improving reading comprehension. This study explores the effects of English metacognitive reading strategies and reading comprehension in Kuwaiti primary school students as foreign language learners; this experimental study tries to find a relationship between students' metacognitive strategies, metacognitive strategies, and students' reading performance. Participants were fifth grade EFL students in Kuwait primary education government public schools. The students' reading comprehension was evaluated. Comprehension tracking strategies were measured using Metacognitive strategies (K-W-L Plus). While the experimental groups (B) received instructions according to (K-W-L Plus) techniques, the control (A) group was trained with the traditional teaching approach based on the Kuwait national curriculum school textbooks. A questionnaire investigating the use of English and perceived English proficiency was also conducted. The results revealed that Perceived proficiency in English was not determined by the early or late pre-school age of second language acquisition. Also, bilingual students with perceived proficiency in English had better meta-cognitive reading skills than low perceived proficiency in English. Comprehension monitoring and (K-W-L) strategy was adequate and the most important predictor of reading comprehension among all students in the research sample.
- Published
- 2022
35. TRAJECTORIES OF CHINESE-MUSLIM STUDENTS’ CULTURAL IDENTITY AND THEIR CHALLENGES IN UIN MALANG
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Rois Imron Rosi and Ahmad F Yousif
- Subjects
cultural identity ,chinese-muslims ,university students ,Philosophy. Psychology. Religion ,Islam. Bahai Faith. Theosophy, etc. ,BP1-610 ,Islam ,BP1-253 - Abstract
Studying cultural identity among students is considered a pivotal aspect of education. This research explores trajectories of identities among Chinese-Muslim students in Malang. By understanding the identities, individuals can fully understand their positions in the society where they live. It is also expected that citizens and students will develop a more tolerant attitude toward other cultures. In the educational realm, understanding cultural identity is crucial for both teacher and student who interact during the teaching and learning process. In this research, the researcher examines five Chinese-Muslim students’ experiences in the process of constructing their cultural identities using a qualitative design. The research results show that Chinese-Muslim students in Malang are of Hui ethnicity. Physically, they have a close similarity with the Han, the Chinese majority ethnic group and identify themselves as pure Chinese rather than acknowledging their Hui background. In the context of Indonesia, they feel like outsiders because of their facial characteristics. Chinese students’ learning identity is mostly passive and more individual compared to Indonesian students. Due to its individual-based learning, class discussions and group works pose barriers in education, while self and parental motivations serve as supporting factors.
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- 2024
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36. Potential for H2 Generation Using 2D-g-C3N4 Nano-Photocatalysts
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Nazeer, A., primary, Ahmad, F., additional, and Ahmad, S., additional
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- 2024
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37. Examination of the 3516 B Series diesel Engine's Material Tube Fuel Line Failure
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Wilarso Wilarso, Che Wan Mohd Noor, Ahmad F. Ayob, Wan Nurdiyana Wan Mansor, Muhamad Ali Pahmi, Heri Nugraha, Gadang Priyotomo, and Dan Mugisidi
- Subjects
Diesel engine generating set ,Fuel leak ,Root cause ,Cavitation ,Erosion ,SEM ,Mechanical engineering and machinery ,TJ1-1570 ,Mechanics of engineering. Applied mechanics ,TA349-359 - Abstract
In this paper, an investigation was conducted to examine the non-functional fuel line components of the fuel delivery system to cylinder head number 10 in the 3516 B series diesel engine generator set. The system experienced fuel leakage at the connection between the main line and the fuel line tube after operating for 8,922 hours. This problem significantly affects engine performance and increases the risk of fire hazards in the powerhouse and surrounding areas. Therefore, the main objective of this investigation is to identify the underlying cause of the fuel line tube leak and determine the fuel tube replacement schedule. The methods used in the research include chemical composition analysis, energy-dispersive X-ray spectroscopy (EDX), scanning electron microscopy (SEM), and microstructure observation. Two distinct structures are visible when the microstructure of the pipe material is viewed at 200x magnification: a black pearlite structure and a white ferrite structure. SEM/EDS tests revealed erosion cavitation on the material's surface; the material's EDS testing was indicated by a box mark. The results of the research conducted in the standard fuel testing are as follows: API Gravity @ 60°F test results showed a value of 39, within the specifications from the Directorate General of Oil and Gas, which range from 31 to 42. The density was measured at 830 kg/m³ at 15°C, within the standard range of 815-870 kg/m³. The water content was 197 ppm, compared to the standard ASTM D-1744 limit of
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- 2024
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38. Assessment of gastroesophageal reflux disease signs, symptoms, and food behaviors concerning mental health in Herat, Afghanistan: A descriptive study
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Said A. G. Saeedy, Ahmad F. Faiz, Ali Rahimi, and Nasar A. Shayan
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Afghanistan ,DASS ,gastroesophageal reflux ,GERD ,Herat ,risk factor ,Medicine - Abstract
Abstract Background and Aims Gastroesophageal reflux disease (GERD) is a highly prevalent gastrointestinal disorder with modifiable risk factors that are associated with considerable health and economic burdens. The current study was conducted to assess the signs and symptoms, food behaviors, depression, anxiety, and stress related to GERD in Herat, Afghanistan. Methods A descriptive study was conducted between August 29 and October 20, 2020, among patients with GERD symptoms, who provided informed verbal consent at the Mowaffaq Clinic and Sehat Hospital in Herat, Afghanistan. The minimum sample size was 384. Data were collected using a three‐domain questionnaire and Depression, Anxiety, and Stress Scale 42 standard questionnaire. SPSS version 27 was used to perform descriptive statistics and χ2 tests. Results The sample consisted of 396 patients, with the majority being female (67.9%), married (78.5%), and illiterate (34.8%). Heartburn (88.1%) and regurgitation (84.3%) were the most common symptoms reported by participants. Tomato consumption (60.1%) was the most frequent type of eating behavior. Most patients reported severe anxiety (45.9%) and showed statistically significant differences in age, sex, education level, and cigarette usage. This study also found that certain demographic status, eating behaviors, and symptoms were associated with significantly different depression, anxiety, and stress scores among patients with GERD. Conclusion Our study demonstrates the association between GERD and various modifiable risk factors in Herat, Afghanistan. Public health initiatives focusing on preventive measures and raising awareness can potentially alleviate the burden of GERD. Moreover, further research and targeted interventions are essential to improve health outcomes, particularly among patients with GERD, who may experience psychological comorbidities.
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- 2024
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39. Profit-maximization spectrum sharing in opportunistic duopoly market under dynamic spectrum pricing and QoS constraints.
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Haythem Bany Salameh, Mohammad Qasem Samara, Ghaleb A. Elrefae, and Ahmad F. Al-Ajlouni
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- 2024
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40. Sig-Lime: A Signal-Based Enhancement of Lime Explanation Technique.
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Talal A. A. Abdullah, Mohd Soperi Mohd Zahid, Ahmad F. Turki, Waleed Ali 0001, Ahmad A. Jiman, Mohammed J. Abdulaal, Nebras Sobahi, and Eyad T. Attar
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- 2024
- Full Text
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41. Robust Dynamic State Estimation of Multi-Machine Power Networks with Solar Farms and Dynamics Loads
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Nadeem, Muhammad and Taha, Ahmad F.
- Subjects
Electrical Engineering and Systems Science - Systems and Control ,Mathematics - Optimization and Control - Abstract
Conventional state estimation routines of electrical grids are mainly reliant on dynamic models of fossil fuel-based resources. These models commonly contain differential equations describing synchronous generator models and algebraic equations modeling power flow/balance equations. Fuel-free power systems that are driven by inertia-less renewable energy resources will hence require new models and upgraded estimation routines. To that end, in this paper we propose a robust estimator for an interconnected model of power networks comprised of a comprehensive ninth order synchronous generator model, advanced power electronics-based models for photovoltaic (PV) power plants, constant power loads, constant impedance loads, and motor loads. The presented state estimator design is based on Lyapunov stability criteria for nonlinear differential algebraic equation (DAE) models and is posed as a convex semi-definite optimization problem. Thorough simulations studies have been carried out on IEEE-39 bus test system to showcase the robustness of the proposed estimator against unknown uncertainty from load demand and solar irradiance., Comment: To Appear in the 61st IEEE Conference on Decision and Control (CDC), Canc\'un, Mexico, December 2022
- Published
- 2022
42. Traffic State Estimation for Connected Vehicles using the Second-Order Aw-Rascle-Zhang Traffic Model
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Vishnoi, Suyash C., Nugroho, Sebastian A., Taha, Ahmad F., and Claudel, Christian G.
- Subjects
Electrical Engineering and Systems Science - Systems and Control ,Mathematics - Optimization and Control - Abstract
This paper addresses the problem of traffic state estimation (TSE) in the presence of heterogeneous sensors which include both fixed and moving sensors. Traditional fixed sensors are expensive and cannot be installed throughout the highway. Moving sensors such as Connected Vehicles (CVs) offer a relatively cheap alternative to measure traffic states across the network. Moving forward it is thus important to develop such models that effectively use the data from CVs. One such model is the nonlinear second-order Aw-Rascle-Zhang (ARZ) model which is a realistic traffic model, reliable for TSE and control. A state-space formulation is presented for the ARZ model considering junctions in the formulation which is important to model real highways with ramps. A Moving Horizon Estimation (MHE) implementation is presented for TSE using a linearized ARZ model. Various state-estimation methods used for TSE in the literature along with the presented approach are compared with regard to accuracy and computational tractability with the help of a numerical study using the VISSIM traffic simulation software. The impact of various strategies for querying CV data on the estimation performance is also considered. Several research questions are posed and addressed with a thorough analysis of the results.
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- 2022
43. On Differential Privacy and Traffic State Estimation Problem for Connected Vehicles
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Vishnoi, Suyash C., Taha, Ahmad F., Nugroho, Sebastian A., and Claudel, Christian G.
- Subjects
Electrical Engineering and Systems Science - Systems and Control ,Mathematics - Optimization and Control - Abstract
This letter focuses on the problem of traffic state estimation for highway networks with junctions in the form of on- and off-ramps while maintaining differential privacy of traffic data. Two types of sensors are considered, fixed sensors such as inductive loop detectors and connected vehicles which provide traffic density and speed data. The celebrated nonlinear second-order Aw-Rascle- Zhang (ARZ) model is utilized to model the traffic dynamics. The model is formulated as a nonlinear state-space difference equation. Sensitivity relations are derived for the given data which are then used to formulate a differentially private mechanism which adds a Gaussian noise to the data to make it differentially private. A Moving Horizon Estimation (MHE) approach is implemented for traffic state estimation using a linearized ARZ model. MHE is compared with Kalman Filter variants namely Extended Kalman Filter, Ensemble Kalman Filter and Unscented Kalman Filter. Several research and engineering questions are formulated and analysis is performed to find corresponding answers., Comment: TO APPEAR IN THE 61ST IEEE CONFERENCE ON DECISION AND CONTROL (CDC), CANCUN, MEXICO, DECEMBER 2022. arXiv admin note: text overlap with arXiv:2209.02848
- Published
- 2022
44. Data-Driven Identification of Dynamic Quality Models in Drinking Water Networks
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Wang, Shen, Chakrabarty, Ankush, and Taha, Ahmad F.
- Subjects
Electrical Engineering and Systems Science - Systems and Control - Abstract
Traditional control and monitoring of water quality in drinking water distribution networks (WDN) rely on mostly model- or toolbox-driven approaches, where the network topology and parameters are assumed to be known. In contrast, system identification (SysID) algorithms for generic dynamic system models seek to approximate such models using only input-output data without relying on network parameters. The objective of this paper is to investigate SysID algorithms for water quality model approximation. This research problem is challenging due to (i) complex water quality and reaction dynamics and (ii) the mismatch between the requirements of SysID algorithms and the properties of water quality dynamics. In this paper, we present the first attempt to identify water quality models in WDNs using only input-output experimental data and classical SysID methods without knowing any WDN parameters. Properties of water quality models are introduced, the ensuing challenges caused by these properties when identifying water quality models are discussed, and remedial solutions are given. Through case studies, we demonstrate the applicability of SysID algorithms, show the corresponding performance in terms of accuracy and computational time, and explore the possible factors impacting water quality model identification.
- Published
- 2022
45. Efficiency of net harvesting in apricot (Prunus armeniaca)
- Author
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Mir, M.S., Ahmad, F., and Mehdi, M.
- Published
- 2012
46. Dynamic State Estimation of Nonlinear Differential Algebraic Equation Models of Power Networks
- Author
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Nadeem, Muhammad, Nugroho, Sebastian A., and Taha, Ahmad F.
- Subjects
Electrical Engineering and Systems Science - Systems and Control ,Mathematics - Optimization and Control - Abstract
This paper investigates the joint problems of dynamic state estimation of algebraic variables (voltage and phase angle) and generator states (rotor angle and frequency) of nonlinear differential algebraic equation (NDAE) power network models, under uncertainty. Traditionally, these two problems have been decoupled due to complexity of handling NDAE models. In particular, this paper offers the first attempt to solve the aforementioned problem in a coupled approach where the algebraic and generator states estimates are simultaneously computed. The proposed estimation algorithm herein is endowed with the following properties: (i) it is fairly simple to implement and based on well-understood Lyapunov theory; (ii) considers various sources of uncertainty from generator control inputs, loads, renewables, process and measurement noise; (iii) models phasor measurement unit installations at arbitrary buses; and (iv) is computationally less intensive than the decoupled approach in the literature., Comment: IEEE Transactions on Power Systems, In Press, June 2022
- Published
- 2022
47. Flood Risk Mitigation and Valve Control in Stormwater Systems: State-Space Modeling, Control Algorithms, and Case Studies
- Author
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Junior, Marcus N. Gomes, Giacomoni, Marcio H., Taha, Ahmad F., and Mendiondo, Eduardo M.
- Subjects
Electrical Engineering and Systems Science - Systems and Control - Abstract
The increasing access to non-expensive sensors, computing power, and more accurate forecasting of storm events provides unique opportunities to shift flood management practices from static approaches to an optimization-based real-time control (RTC) of urban drainage systems. Recent studies have addressed a plethora of strategies for flood control in stormwater reservoirs; however, advanced control theoretic techniques are not yet fully investigated and applied to these systems. In addition, there is an absence of a coupled integrated control model for systems composed of watersheds, reservoirs, and channels for flood mitigation. To this end, we develop a novel state-space model of hydrologic and hydrodynamic processes in reservoirs and one-dimensional channels. The model is tested under different types of reservoir control strategies based on real-time measurements (reactive control), and based on predictions of the future behavior of the system (predictive control) using rainfall forecastings. We apply the modeling approach in a system composed by a single watershed, reservoir, and a channel connected in series, respectively, for the San Antonio observed rainfall data. Results indicate that for flood mitigation, the predictive control strategy outperforms the reactive controls not only when applied for synthetic design storm events, but also for a continuous simulation. Moreover, the predictive control strategy requires smaller valve operations, while still guaranteeing efficient hydrological performance. From the results, we recommend the use of the model predictive control strategy to control stormwater systems due to the ability to handle different objective functions, which can be altered according to rainfall forecasting and shift the reservoir operation from flood-based control to strategies focused on increasing detention times, depending on the forecasting.
- Published
- 2022
48. Control-Theoretic Modeling of Multi-Species Water Quality Dynamics in Drinking Water Networks: Survey, Methods, and Test Cases
- Author
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Elsherif, Salma M., Wang, Shen, Taha, Ahmad F., Sela, Lina, Giacomoni, Marcio H., and Abokifa, Ahmed
- Subjects
Electrical Engineering and Systems Science - Systems and Control ,Mathematics - Optimization and Control - Abstract
Chlorine is a widely used disinfectant and proxy for water quality (WQ) monitoring in water distribution networks (WDN). Chlorine-based WQ regulation and control aims to maintain pathogen-free water. Chlorine residual evolution within WDN is commonly modeled using the typical single-species decay and reaction dynamics that account for network-wide, spatiotemporal chlorine concentrations only. Prior studies have proposed more advanced and accurate descriptions via multi-species dynamics. This paper presents a host of novel state-space, control-theoretic representations of multi-species water quality dynamics. These representations describe decay, reaction, and transport of chlorine and a fictitious reactive substance to reflect realistic complex scenarios in WDN. Such dynamics are simulated over space- and time-discretized grids of the transport partial differential equation and the nonlinear reaction ordinary differential equation. To that end, this paper (i) provides a full description on how to formulate a high fidelity model-driven state-space representation of the multi-species water quality dynamics and (ii) investigates the applicability and performance of different Eulerian-based schemes (Lax-Wendroff, backward Euler, and Crank- Nicolson) and Lagrangian-based schemes (method of characteristics) in contrast with EPANET and its EPANET-MSX extension. Numerical case studies reveal that the Lax-Wendroff scheme and method of characteristics outperform other schemes with reliable results under reasonable assumptions and limitations.
- Published
- 2022
- Full Text
- View/download PDF
49. RETRACTED ARTICLE: Towards superior structural, optical and magnetic properties, and ligand field effects of B2O3–ZnO–CoO glass doped with alkaline metal earth cations
- Author
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Ahmad, F., Amin, Hesham Y., and Hassan, Moukhtar A.
- Published
- 2024
- Full Text
- View/download PDF
50. Role of Bioagents in Management of Pratylenchus thornei Infecting Chickpea
- Author
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Dwivedi, K., Upadhyay, K.D., Verma, R.A., and Ahmad, F.
- Published
- 2008
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