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Copyright of Computer Measurement & Control is the property of Magazine Agency of Computer Measurement & Control and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Control Theory & Applications / Kongzhi Lilun Yu Yinyong is the property of Editorial Department of Control Theory & Applications and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This paper is concerned with the stability problem for a kind of memristive neural network (MNN) with interval time-varying delays. Since the model of the MNN is a differential equation with a discontinuous function on right hand side, the classical theory of differential equations is beyond appliance. By means of the theory of differential inclusion and the framework of Filippov solution, the delayed MNN can be transformed into some common delayed neural network and a novel Lyapunov-Krasovskii functional (LKF) is constructed with a first-order function regarding time delay. Utilizing some integral inequalities and the reciprocally convex combination inequality to assess its time derivative, we obtain a sufficient condition guaranteeing the asymptotic stability of the delayed MNN in the form of linear matrix inequalities (LMIs), which can be checked easily by MATLAB. Ultimately, it is shown through numerical example that the proposed method is valid and realizable. [ABSTRACT FROM AUTHOR]

The finite-time guaranteed cost control problem is studied for impulsive stochastic Markov jump systems with time-varying delays. By selecting mode-dependent Lyapunov functionals, using techniques such as Linear Matrix Inequality (LMI) and average dwell time, we obtain some new sufficient conditions to ensure finite-time stability and the upper bound performance index of the system, hence design a guaranteed cost controller with state feedback. Finally, the LMI toolbox of Matlab is used for data simulation, and the corresponding mean-square trajectory plots are obtained. Numerical examples show that the obtained simulation results are consistent with the theoretical results, which verifies the effectiveness of the proposed approach. [ABSTRACT FROM AUTHOR]

The sliding mode control problem for a class of generalized time-delay Markov jump systems with partially unknown transition rates is studied. Firstly, an integral sliding mode surface is designed for the generalized time-delay Markov jump system, and the corresponding equivalent controller is obtained. Then, a Lyapunov functional is constructed, and the sufficient conditions for the stochastic admissibly and satisfying H∞ criteria γ performance of the closed loop system are obtained using linear matrix inequality method. The addition and subtraction term method and the free weight matrix are used to reduce the conservatism of the obtained results. Based on the analysis of sliding mode dynamics, a sliding mode controller is designed so that the system can reach the sliding mode surface in finite time. Finally, the feasibility of the theory is verified by numerical examples and simulations. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Chongqing University of Technology (Natural Science) is the property of Chongqing University of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Chongqing University of Technology (Natural Science) is the property of Chongqing University of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Control Theory & Applications / Kongzhi Lilun Yu Yinyong is the property of Editorial Department of Control Theory & Applications and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Guangdong University of Technology is the property of Journal of Guangdong University of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Rural Water & Hydropower is the property of China Rural Water & Hydropower Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Automobile Technology is the property of Automobile Technology Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The projective synchronization of fractional quaternion neural networks with time-varying delays was studied. Instead of transforming the fractional quaternion neural network system into 2 complex-valued systems or 4 real-valued systems, the means of treating the quaternion network system directly as a whole was applied. Under a rational controller, through the construction of a suitable Lyapunov function and with some inequality techniques, the sufficient criteria for the projective synchronization of fractional quaternion neural networks with time-varying delays were obtained. The numerical simulation example shows the validity and feasibility of the conclusions. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Ordnance Equipment Engineering is the property of Chongqing University of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Frontiers of Information Technology & Electronic Engineering is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Control Theory & Applications / Kongzhi Lilun Yu Yinyong is the property of Editorial Department of Control Theory & Applications and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Computer Measurement & Control is the property of Magazine Agency of Computer Measurement & Control and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Vibration, Measurement & Diagnosis is the property of Nanjing Hangkong Daxue and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Control Theory & Applications / Kongzhi Lilun Yu Yinyong is the property of Editorial Department of Control Theory & Applications and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

For singularly perturbed bilinear systems with input constraints and time-varying delays， a design method of state feedback passive controller is proposed to eliminate the effects of delay factors and input saturation on the closed-loop system. Firstly， in the framework of Lyapunov stability theory and passivity theory， using linear matrix inequality technology and convex combination technology， the design of the system state feedback controller is reduced to solve a set of linear matrix inequalities independent of the upper bound of time delay. The obtained controller makes the closed-loop system asymptotically stable and passive， and constructs the estimation of the elliptic domain of attraction related to singular perturbation parameters. The above method is extended to the system without time delay and external input. Then， a convex optimization problem is proposed to obtain the maximum estimation of the domain of attraction of the closed-loop system， and the stability bound of singular perturbation parameter is also one of the design objectives. Finally， numerical simulation examples illustrate the effectiveness of the proposed theoretical method. [ABSTRACT FROM AUTHOR]

Copyright of Frontiers of Information Technology & Electronic Engineering is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Shanghai Jiao Tong University (1006-2467) is the property of Journal of Shanghai Jiao Tong University Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Control Theory & Applications / Kongzhi Lilun Yu Yinyong is the property of Editorial Department of Control Theory & Applications and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Control Theory & Applications / Kongzhi Lilun Yu Yinyong is the property of Editorial Department of Control Theory & Applications and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Compared with the basic single-zone air-conditioning system, the Multi-zone Heating,Ventilation and Air Conditioning（HVAC） system can better describe the dynamic thermal response process in each zone of an air-conditioned room. The traditional Model Predictive Control (MPC) algorithm can Control temperature and humidity well, but the coupling effect of heat transfer coefficients between indoor areas leads to uncertain disturbances in the Model. In this case, the traditional MPC algorithm is difficult to achieve Control. To solve these problems, a Robust Model Predictive Control (RMPC) strategy based on linear matrix inequality (LMI) was designed. The disturbances in the Model are represented by multicellular uncertainty sets. Lastly, a min-max problem with infinite time-domain control quantity was transformed into a problem with finite time-domain to solve the state feedback control rate. Considering the state and input constraints, the optimal solution at every moment can be obtained by online real-time solution. Finally, through the simulation of Multi-zone air conditioning room system, the results show that the algorithm has higher tracking accuracy of temperature and humidity in the three areas, and stronger anti-interference ability. [ABSTRACT FROM AUTHOR]

Lane keeping system ( LKS) is helpful to improve the driving safety of commercial vehicles. To ensure the robustness of LKS control system and reduce the model uncertainty caused by the simplified model process, the robust model predictive control algorithm based on the linear matrix inequality ( LMI) was used to conduct the lane tracking control of commercial vehicles. Three degrees of freedom vehicle dynamics model was established, and the discretization and linearization were carried out. Based on the discrete dynamics model of vehicle, the model predictive controller was designed with path deviation and control increment as objective function. The model predictive control problem was transformed into minmax optimization problem by LMI. By the online dynamic optimization, the path deviation was eliminated, and the vehicle was returned to the centerline rapidly. The Trucksim/Simulink co-simulation was carried out to verify the algorithm. The results show that the lane keeping control system based on robust model predictive control ( RMPC ) algorithm can improve the lane tracking accuracy and driving stability of commercial vehicles. [ABSTRACT FROM AUTHOR]

Copyright of Electric Machines & Control / Dianji Yu Kongzhi Xuebao is the property of Electric Machines & Control and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Control Theory & Applications / Kongzhi Lilun Yu Yinyong is the property of Editorial Department of Control Theory & Applications and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Based on the intermediate estimator, the fault estimation problem was studied for the nonlinear systems with time delays and multiple faults. Intermediate variables and intermediate estimators were designed to realize fault estimation and avoid the limitation of observer matching conditions. According to the Lyapunov stability theory and the linear matrix inequality method, the error systems are asymptotically stable. At last, through the MATLAB simulation, the effectiveness of the proposed method was verified. [ABSTRACT FROM AUTHOR]

Here the input-output finite-time stability for a class of stochastic distributed parameter switched systems is studied. First, the concept of the input-output finite-time stability of system in mean square sense is given. Second, by using the piecewise Lyapunov-Krasovskii function, average dwell time, linear matrix inequality and other tools, the sufficient conditions of input-output finite-time stability are constructed. In addition, a state feedback controller is designed to ensure the input-output finite-time stability of corresponding closed-loop system, which is proved by strict mathematical derivation. Finally, two simulation examples are given to verify the effectiveness of the results obtained. [ABSTRACT FROM AUTHOR]

This study aims at estimating the sensor fault interval of attitude control system of quadrotor UAV based on zonotopes. The UAV’s nonlinear system is linearized by Taylor series expansion and the original system is transformed into an equivalent generalized system by considering the sensor fault as an augmented state. A robust augmented state observer is design by using H∞ technique. By solving the linear matrix inequalities, the fault estimation of sensor in quadrotor UAV attitude control system is obtained. The fault interval and algorithm design can be obtained by the analysis of zonotopes. Based on the MATLAB simulation platform, taking the quadrotor UAV attitude control sensor failure system as the object, the feasibility and effectiveness of the interval estimation proposed in the study are verified. [ABSTRACT FROM AUTHOR]

Copyright of Control Theory & Applications / Kongzhi Lilun Yu Yinyong is the property of Editorial Department of Control Theory & Applications and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

For the asymplotic synchronization problem of neutral coupled complex networks with unknown control nodes, an adaptive pinning controller which is more suitable to engineering applications is designed, and the design basis of the adaptive update law is provided in the present study. According to the generalized Ito formula, linear matrix inequality and Lyapunov stability theory, the sufficient conditions for asymptotic synchronization of neutral coupled complex networks are given. Through a numerical simulation, the minimum number of pinned nodes required for synchronization is calculated, which further verifies the validity of the obtained results. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Southeast University / Dongnan Daxue Xuebao is the property of Journal of Southeast University Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Frontiers of Information Technology & Electronic Engineering is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The admissibility issue of discrete singular systems was mainly studied. Applying restricted equivalent transformations of the discrete singular system， a new necessary and sufficient condition was proposed to ensure discrete singular system admissible. By introducing an intermediate matrix to configure partial poles of system matrix such that the closed-loop system is regular， a state feedback controller was designed to make the closed-loop system admissible. Using similar methods， the controller design problem of uncertain discrete singular systems was discussed as well， a sufficient condition of robust stabilization for uncertain discrete singular systems was obtained. All the methods proposed in this article are strictly linear matrix inequalities(LMI). Two numerical examples verify the effectiveness of the proposed methods. [ABSTRACT FROM AUTHOR]

Copyright of Information & Control is the property of Gai Kan Bian Wei Hui and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This paper proposed an observer fractional-order chaotic synchronization algorithm based on fractional-order integral. It created a new variable, which was obtained by the fractional integration of the sum of the output signal and external unknown disturbance. And then it used the variable as an input signal to put into the observer system to realize the observer fractional-order chaotic synchronization. It turned out to be correct in the method of the Lyapunov stability theory and linear matrix inequality form. Under the synchronization control, the synchronization errors were convergent. The simulation results show the effectiveness of the proposed method. Finally, it realized the chaotic synchronization. [ABSTRACT FROM AUTHOR]

In order to make active air suspension have a better vibration control effect while driving, dynamic equation of parameter uncertainty two-degree-of-freedom quarter-vehicle suspension model and non-stationary pavement excitation model are established, analyzing and optimizing active suspension control under linear matrix inequalities with robust H∞ control theory. Under the time domain hard constraints, H∞ state feedback control strategy is proposed and used in the design of the active suspension control system of the quarter vehicle model. The stability of the controller is obtained through time domain analysis and robust parameter stability analysis. For non-steady running roads, the use of a robust H∞ control strategy can effectively improve the riding comfort under the given constraint control force, reduce the body acceleration by about 40% and meet the requirements of limit suspension dynamic deflection of 0.08 m and tire dynamics load of 1 500 N, which improves the vehicle’s handling stability and ride comfort. [ABSTRACT FROM AUTHOR]

The finite-time stability of fractional-order linear differential systems with time delays was studied. Firstly, with a new Lyapunov function and the linear matrix inequality, some sufficient conditions for the finite-time stability of fractional linear differential systems with time delays were derived. Then, under the action of a state feedback controller, some conditions for the finite-time stability of fractional differential closed-loop systems with time delays were given, and the design method for the controller was given. In the end, the effectiveness of the theoretical results was illustrated with two examples. [ABSTRACT FROM AUTHOR]

Copyright of Control Theory & Applications / Kongzhi Lilun Yu Yinyong is the property of Editorial Department of Control Theory & Applications and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Control Theory & Applications / Kongzhi Lilun Yu Yinyong is the property of Editorial Department of Control Theory & Applications and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In order to study the problem of H∞ control for a class of neutral time-delay interconnected systems, the decentralized memory feedback controller is designed when the delay time has little influence on the system and the stability of the system is analyzed by using Lyapunov function theory, free weighted matrix and Newton-Leibniz formula. Sufficient conditions are given for the system to remain stable and satisfy the H∞ performance index in the presence of external disturbances by using linear matrix inequalities. Finally, the numerical simulation results show that the proposed control method not only guarantees the stability of the controlled system, but also ensures H∞ performance index when there external interference. [ABSTRACT FROM AUTHOR]

For a class of networked nonlinear parameter-varying systems with time-varying delays and global Lipschitz nonlinearities, this paper studied the fault-tolerant problem when external disturbances, random actuator and sensor faults existed simultaneously. It modeled the randomly occurring faults as Bernoulli distributed white sequences with known conditional probability distributions, and handled time-varying delays by the free weight matrix method. Based on Lyapunov-Krasovskii stability theory and LMI methods, the paper derived sufficient conditions for the existence of the H∞ fault-tolerant controller. It used the approximate basis function and the grid technique to turn the problem of solving an infinite-dimensional linear matrix inequalities into the problem of solving a finite-dimensional linear matrix inequalities. Then it obtained the corresponding fault-tolerant controller gains. Finally, numerical simulation verified the effectiveness of the proposed method. [ABSTRACT FROM AUTHOR]

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The state estimation of complex-valued neural networks with leakage delay and both discrete and distributed additive time-varying delays was studied. In the case where the activation function of the network was not required to be separated, through construction of the appropriate Lyapunov-Krasovskii functionals, and with the free weight matrix, the matrix inequality and the reciprocal convex combination method, the state of the neuron was estimated by means of observable output measurements. In addition, complex-valued linear matrix inequalities related to time delays were given to ensure the global asymptotic stability of the error-state model. Finally, numerical simulation examples verify the validity of the theoretical analysis. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Zhengzhou University (Natural Science Edition) is the property of Journal of Zhengzhou University (Natural Science Edition) Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Control Theory & Applications / Kongzhi Lilun Yu Yinyong is the property of Editorial Department of Control Theory & Applications and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Electric Machines & Control / Dianji Yu Kongzhi Xuebao is the property of Electric Machines & Control and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This paper focuses on the study of H∞ state estimation of static neural networks having leakage delay.With the skills to construct Lyapunov-Krasovskii functionals,a state estimator is designed for the estimation of H∞ performance,and the results are derived without applying differentiability on time-varying delays.Finally,a numerical example is provided to demonstrate the effectiveness and advantages of the obtained results. [ABSTRACT FROM AUTHOR]