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In this paper, the full state hybrid projective synchronization (FSHPS) between two different fractional order chaotic systems is investigated. i.e., the fractional order Chen system and the fractional order Lorenz system. Based on the synchronization error system feedback linearization theory, a new method combining feedback control is proposed for theFSHPSin fractional order chaotic systems. Numerical simulations are presented to verify the effectiveness and the feasibility of the synchronization scheme.

W pracy przedstawione jest wyprowadzenie pełnego obserwatora wektora stanu dla wahadła odwróconego z napędem inercyjny. Wahadło odwrócone z napędem inercyjnym stanowi mechanizm nieliniowy który posiada więcej stopni swobody niż wymuszeń. W celu poprawnego sterownia postuluje się o znajomość wszystkich zmiennych stanu. W pracy przedstawiony został model wahadła. Następnie autorzy dokonali dyskretyzacji modelu oraz zapisu modelu do postaci macierzowej, ostatecznie przedstawiony został obserwator bazujący na wyprowadzonym modelu oraz wyniki jego działania.

This paper presents the experimental results of the investigation of the effects of the observer poles for shaping the dynamic responses of state-space systems with system poles placed by state vectors obtained from full-order observers instead of the original full state vectors, which is assumed to be unavailable. The particular parameters considered in the shaping of the dynamic responses in this paper are the settling time and percent overshoot. A large number of observer poles on the complex plane were selected evenly. The corresponding observer state vectors were computed. These state vectors were used for system pole placement. All the system poles were placed at the same locations. The resulting dy- namic responses were simulated and the settling times and percent overshoots were measured. Even though the system poles were the same, the dynamic responses, in particular, the settling time and percent overshoot were not identical and depended on the locations of the observer poles. The relationship between these parameters and the observer poles were analyzed and the results are presented in this paper.

Nowadays vessels are often equipped with modern steering devices like thrusters and podded drives. Such modern steering concepts substantially increase the manoeuvring capability of the vessels. Special manoeuvres, such as berthing and cast off manoeuvres, can be performed by controlling all available aggregates without using tug boats, lines and anchors. Furthermore, the reliability of the position information especially in ports and other safety critical areas has been improved by auxiliary systems. The user gets warranted position data, so that control tasks with high safety requirements can be realised automatically, especially in case of decreased visibility. The deficit of today's track control systems is the path planning method to generate the input values of the specific track control systems by the navigating officer, especially in low speed modes. In order to face this lack, new manoeuvre planning algorithms have been developed and embedded in a simulation and test environment. The feasibility of the developed manoeuvre planning methods is demonstrated with one of the most challenging nautical tasks – the berthing manoeuvre.

This paper further investigates a new type synchronization called full state hybrid function projective synchronization (FSHFPS). Based on the Lyapunov stability theory, the adaptive control law and the parameter update laws are derived to make FSHFPS between two financial hyperchaotic systems. And FSHFPS of financial hyperchaotic systems is first studied in this paper. The method is successfully applied to the synchronization between two identical financial hyperchaotic systems and two different financial hyperchaotic systems when the parameters unknown. Numerical simulations are presented to demonstrate the effectiveness of the proposed controllers.

In this paper we consider the problem of steering a linear system to an unknown setpoint that is defined as the minimizer of an optimization problem. We give a gradient-based solution as well as a gradient-free approximation that, in the spirit of extremum seeking control, only requires measurements of the objective function. We further show that in both cases dynamic output feedback can be used if full state measurements are not available.

The problem of frictional contact between two long, elastic, coaxial cylinders pressed together, end-to-end and subsequently subjected to monotonically increasing or oscillating torque is considered and the full state of stress found, together with the partial slip regime and the strength of the assembly. © 2010 Elsevier Ltd. All rights reserved.

The problem of feedback linearizing control design based on canonical similarity transformation is considered. The idea of proposed method consists in representing the original nonlinear system into a state-dependent coefficient form and applying the canonical similarity transformation to this system. The application of the proposed approach is illustrated through examples.

In this paper, full state hybrid projective synchronization of two new incommensurate fractional hyperchaotic systems are presented. The synchronization is achieved under a master–slave configuration in which these systems have different fractional orders. The synchronization scheme and control technique are performed subject to parameter uncertainty in both master and slave systems. The main idea of such asymptotical synchronization is an adaptive mechanism which employs Lyapunov stability criterion. Numerical simulations support the proposed techniques.

This paper provides a contribution to the topic of full state hybrid projective synchronization (FSHPS) by introducing an observer-based approach that enables synchronization to be achieved via a scalar synchronizing signal. The method is based on a theorem that assures dead-beat synchronization (i.e., exact synchronization in finite time) to a wide class of discrete-time chaotic (hyperchaotic) systems. Two examples, involving the hyperchaotic Grassi–Miller map and the hyperchaotic double scroll map, show that FSHPS can be effectively achieved in finite time using a scalar synchronizing signal only.

The problems of stability analysis and controllers design for discrete-time linear systems subject to state saturation nonlinearities are investigated in this paper. Both full state saturation and partial state saturation are considered. It is well known to all that the controller design problem under state saturation is very difficult and complex to deal with. In order to overcome the difficulty, a new and tractable system is constructed, and it can be proved that the constructed system is with the same domain of attraction as the original system. With the aid of this property, to estimate the domain of attraction of the original system, an LMI-based method is presented for estimating the domain of attraction of the origin for the new constructed system under state saturation. Further, two optimization algorithms are developed for constructing dynamic output-feedback controllers and state feedback controllers, respectively, which guarantee that the domain of attraction of the origin for the closed-loop system is as ‘large’ as possible. An example is provided to demonstrate the effectiveness of the new method.

Proton Exchange Membrane Fuel Cell (PEMFC) has being widely applied in electric vehicle and distributed generation for its low corrosion, low-temperature operation and environment friendship. It should be concerned over the control and maintenance of its auxiliary equipments, placement site, restoring of hydrogen and other things when physical PEMFC is used. However, PEMFC’s volt-ampere (V-I) external characteristics draw our more attention rather than its ontology or peripheral devices control which keeps PEMFC working properly in many appliance studies. So, there is another solution to introduce power electronic technique to construct a FC power electronic simulator which simulates FC’s external characteristic including static and dynamic states and keeps away those troubles mentioned above. A buck converter is adopted to construct the FC simulator. The test DC current source load is acquired by a buck converter which main circuit is similar to the FC simulator. The experiments show the FC simulator has done a good job to simulator FC’s volt-ampere external characteristic and it is cost saved.

Full state revivals in a quantum walk can be viewed as returning of the walker to the initial quantum state in a periodic fashion during the propagation of the walk. In this paper we show that for any given number of spatial dimensions, a coin operator can be constructed to generate a quantum walk having full revivals with any desired period. From the point of view of quantum computation and simulations, these coin operators can be useful in implementing quantum walks which oscillate between any two states with a finite periodicity.

In this paper, the adaptive backstepping design is proposed for the full state hybrid projective synchronization between two different chaotic systems with fully unknown parameters. Based on the design, the synchronization of two uncertain chaotic systems is realized only by using one controller, and the unknown parameters are identified through the corresponding parameter update laws. The uncertain Genesio–Tesi chaotic system and Lorenz system are chosen as examples for detailed description of the method. Finally, some numerical simulations are given to illustrate the effectiveness of the proposed method.

In this paper, lag full state hybrid projective synchronization (LFSHPS) in fractional-order chaotic systems is first studied. We show that LFSHPS does exist in fractional-order chaotic systems. Based on active control theory, synchronization schemes for LFSHPS of the fractional-order chaotic systems are given. Numerical simulations are provided to illustrate and verify the effectiveness of the proposed methods.

This article studies the problems of stability analysis and controllers design for continuous-time linear systems with the consideration of full state saturation as well as partial state saturation. Owing to the difficulty and complexity in the controller design under state saturation, a new and tractable system is constructed, and it is shown that the constructed system is with the same domain of attraction as the original system. Based on this property, an linear matrix inequality (LMI) based method is presented for estimating the attraction domain of the origin for the new constructed system with state saturation. In addition, an algorithm is developed for designing dynamic output-feedback controllers, which guarantee that the attraction domain of the origin for the closed-loop system is as ‘large’ as possible. An example is given to illustrate the effectiveness of the design method.

This article investigates the trajectory tracking control problem for unmanned surface vessels with input saturation and full-state constraints. The barrier Lyapunov function is used to solve the problem of state constraints, and the adaptive method is employed to handle the unknown random disturbances and saturation problems. The proposed control approach can guarantee that the control law and signals of closed-loop system are uniformly bounded and achieve the asymptotic tracking. Finally, simulation studies are provided to show the effectiveness of the proposed method.

In this letter, we investigate the full state hybrid projective synchronization (FSHPS) which includes complete synchronization, anti-synchronization and projective synchronization as its special items. Based on Lyapunov stability theory a controller can be designed for achieving the FSHPS of hyperchaotic systems. Numerical simulations are provided to verify the effectiveness of the proposed scheme.

In this paper, impulsive control for master–slave synchronization schemes consisting of identical chaotic neural networks is studied. Impulsive control laws are derived based on linear static output feedback. A sufficient condition for global asymptotic synchronization of master–slave chaotic neural networks via output feedback impulsive control is established, in which synchronization is proven in terms of the synchronization errors between the full state vectors. An LMI-based approach for designing linear static output feedback impulsive control laws to globally asymptotically synchronize chaotic neural networks is discussed. With the help of LMI solvers, linear output feedback impulsive controllers can be easily obtained along with the bounds of the impulsive intervals for global asymptotic synchronization. The method is finally illustrated by numerical simulations.

This paper addresses the stability analysis and synthesis problems for a class of networked control systems (NCSs) under effects of both networkinduced delay and packet dropout. The motivation comes from the increasing NCS applications where the full state vector is not available. To handle the concerned problems, two predictive observer-based controllers are constructed. The first one is a memoryless controller with the predictive observer collocated with the plant. The second one, with the predictive observer colocated with the controller, uses the last effective plant information as well as the knowledge of the plant dynamics. The stability conditions of NCSs are derived via both network-condition-dependent Lyapunov function and common quadric Lyapunov function. The corresponding controller design problems are also solved based upon the obtained stability conditions. Simulation and experimental results are given to demonstrate the effectiveness of the proposed approaches.

A systematic and concrete scheme is proposed to study the full state hybrid projective synchronization (FSHPS) of a general class of chaotic maps based on the active control idea. The scheme is accessible to the FSHPS of two identical or different chaotic maps. The 3D generalized Henon map and 3D discrete-time Grassi–Miller map are chosen to illustrate the proposed scheme, and numerical simulations are given to show the effectiveness of the proposed chaos synchronization method.

This paper considers robust fault detection for nonlinear systems with full state information. We propose and solve a multi-objective fault detection criterion by maximizing the smallest singular value of the transformation from faults to fault detection residuals while decoupling/or minimizing the largest singular value of the transformation from disturbance to the fault detection residuals.

Schlieren-tomographic methods yield instantaneous 3D measurements of refractive index distributions in asymmetric flows. A temporal analysis of sequences of 3D volumes enables the extraction of dense velocity fields. The talk discusses recent developments in the area.

Motivated by an open problem posed by J.P. Hespanha we extend the notion of Barabanov norm and extremal trajectory to general classes of switching signals. As a consequence we characterize the finiteness of the L2-induced gain for a large set of switched linear control systems in case of full-state observation in terms of the sign of the generalized spectral radius associated with minimal realizations of the original switched system.

The aim of this article is to address the issue of nightmares in the deaf population, given that there are no documented studies on this matter to the best of our knowledge. The study of nightmares in the deaf population is of high relevance given their specific characteristics (impossibility of verbalisation) and the lack of studies with this population. Nightmares are dreams of negative content that trigger an awakening associated with a rapid return to a full state of alert and a persistent feeling of anxiety and fear, which may cause significant distress. Various studies show that the deaf population has dreams with more negative imagery and emotions, are more exposed to interpersonal traumas and have higher rates of dissociation, than hearing people. These concepts seem to be connected given that, in the presence of traumatic events, dissociation may act as a defence mechanism and nightmares may operate as an adaptive coping strategy.

The main objective of this paper is to develop an observer-based synchronization scheme for networked Hindmarsh-Rose neuron models. Regarding synchronization as a state estimation problem, an observer design approach is used for estimating full state dynamics. Stability of the trajectories to be synchronized is determined by utilization of the contraction theory that provides an efficient tool for analyzing convergence of manifolds with respect to each other. Thereupon, a region where contraction of trajectories takes place is determined; therefore the corresponding error dynamics of the model remain in that contracting region. Consequent results are also supported by a numerical simulation example in the end demonstrating the effectiveness of our approach.

In this work, we present a novel approach that leverages Linux containers to achieve High Availabilitya#x007E; (HA) for cloud applications. A middleware that is comprised of a set of HA agents is defined to compensate the limitations of Linux containers in achieving HA. In our approach we start modeling at the application level, considering the dependencies among application components. We generate the proper scheduling scheme and then deploy the application across containers in the cloud. For each container that hosts critical component(s), we continuously monitor its status and checkpoint its full state, and then react to its failure by restarting locally or failing over to another host where we resume the computing from the most recent state. By using this strategy, all components hosted in a container are preserved without intrusively imposing modification on the application side. Finally, the feasibility of our approach is verified by building a proof-of-concept prototype and a case study of a video streaming application.

On 5 December 2004 the citizens of Hungary were called to decide through referendum on two issues: (1) that the health system remained under full state control, and (2) that ethnic Hungarians living in the neighboring countries were granted citizenship preferentially. Sixty-five percent of the Hungarians who went to vote gave a favorable answer to the first question, and a little more than 51% gave a yes answer to the second question. Despite this, however, the referendum failed because of the low voter turnout of only 37.49% of the electorate. According to Hungarian law, for a referendum result to be valid it is required that at least 25% of the electorate endorses it. In this referendum a little less than 19% of all franchised citizens voted for granting double citizenship to ethnic Hungarians living in the neighboring countries.

A unified approach to the design of controllers achieving various specified input-to-state stability (ISS) like properties is presented. Both full state and measurement feedback cases are considered. Synthesis procedures based on dynamic programming are given using the recently developed results on controller synthesis to achieve uniform l/sup /spl infin// bound. Our results provide a link between the ISS literature and the nonlinear H/sup /spl infin// design literature.

For the linear MIMO plants subject to polyharmonic perturbations, a method of designing digital state controllers was developed with regard for the requirements on limitedness of the control actions in the stable state as well as on limitedness of the controlled variables. A notion of radius of the stable state of a closed-loop system was introduced, and the problem of using the full state vector to design a discrete controller providing the desired radius was formulated. Its necessary and sufficient solvability conditions were obtained using the procedure of H ?-optimization by selecting the weight matrices of the discrete Lur'e-Riccati equation.

Model predictive control in combination with discrete time non-linear observer theory is studied in this paper. Model predictive control, generally based on state space models, needs the complete state for feedback. In this paper the complete state is assumed not to be known and only outputs and inputs of the system are measured. To obtain knowledge of the full state an observer is used to obtain an estimate of the state. An extended non-linear observer is used for this purpose and potentially allows for successful output-based model predictive controllers.

Referring to fractional-order systems, this paper investigates the inverse full state hybrid projective synchronisation (IFSHPS) of non-identical systems characterised by different dimensions and different orders. By taking a master system of dimension n and a slave system of dimension m, the method enables each master system state to be synchronised with a linear combination of slave system states, where the scaling factor of the linear combination can be any arbitrary real constants. Based on fractional Lyapunov approach and stability theory of linear fractional-order systems, the method enables commensurate and incommensurate fractional-order systems with different dimension to be synchronised. Two different numerical examples are reported. The examples clearly highlight the capability of the conceived approach in effectively achieving synchronised dynamics for any scaling constants.

People intuitively believe that when they become consciously aware of a visual stimulus, they will be able to remember it and immediately report it. The present study provides a series of striking demonstrations of behavior that is inconsistent with such an intuition. Four experiments showed that in certain conditions, participants could not report an attribute (e.g., letter identity) of a stimulus even when that attribute had been attended and had reached a full state of conscious awareness just prior to being questioned about it. We term this effect attribute amnesia, and it occurs when participants repeatedly locate a target using one attribute and are then unexpectedly asked to report that attribute. This discovery suggests that attention to and awareness of a stimulus attribute are insufficient to ensure its immediate reportability. These results imply that when attention is configured by using an attribute for target selection, that attribute will not necessarily be remembered.

This paper presents the formulation of a reduced order observer for a class of non-linear systems based on generalized matrix inverse. The class of nonlinear system considers, the system dynamics being nonlinear with linear output relation. The state vector is decomposed into two orthogonal components, having the known component is along the system output and the orthogonal component being unknown. The estimation of the unknown component essentially leads to reconstruction of full state information. Illustrative numerical examples with simulation results are presented to demonstrate the effectiveness of the proposed method.

In 1909 Edward made his final foreign visit, which also happened to be his first full state visit to Germany, and received his last from a senior European royal, in the person of the Tsar. The visit to Germany took place in February, between his own 1908 visit to Russia and the Tsar’s return state visit to Britain in August 1909, which will also be discussed in this chapter. The background to both is the failing health of the King and, in spite of this, his continuing commitment to royal diplomacy. This requires a reassessment of the state visit to Germany, often wrongly described as a ‘failure’ because in later assessments of it the emphasis has been placed on his poor health, rather than on what he achieved during that visit.1

© International Association for Cryptologic Research 2015. We provide a security analysis for full-state keyed Sponge and full-state Duplex constructions. Our results can be used for making a large class of Sponge-based authenticated encryption schemes more efficient by concurrent absorption of associated data and message blocks. In particular, we introduce and analyze a new variant of Sponge Wrap with almost free authentication of associated data. The idea of using full-state message absorption for higher efficiency was first made explicit in the Donkey Sponge MAC construction, but without any formal security proof. Recently, Gaži, Pietrzak and Tessaro (CRYPTO 2015) have provided a proof for the fixed-output-length variant of Donkey Sponge. Yasuda and Sasaki (CT-RSA 2015) have considered partially full-state Sponge-based authenticated encryption schemes for efficient incorporation of associated data. In this work, we unify, simplify, and generalize these results about the security and applicability of full-state keyed Sponge and Duplex constructions; in particular, for designing more efficient authenticated encryption schemes. Compared to the proof of Gaži et al., our analysis directly targets the original Donkey Sponge construction as an arbitrary-output-length function. Our treatment is also more general than that of Yasuda and Sasaki, while yielding a more efficient authenticated encryption mode for the case that associated data might be longer than messages. ispartof: pages:465-489 ispartof: Lecture Notes in Computer Science vol:9453 pages:465-489 ispartof: ASIACRYPT 2015 location:NEW ZEALAND, Univ Auckland, Auckland date:27 Nov - 3 Dec 2015 status: published

A practical solution is presented for the design of a non-isolated high voltage DC/AC power converter. The converter is intended to be used as a class D audio amplifier for a Dielectric Electro Active Polymer (DEAP) transducer. A simple and effective hysteretic control scheme for the converter (buck with fourth- order output filter) is developed and analyzed. The proposed design is verified experimentally by a 125 VAR prototype amplifier, capable of delivering a peak output voltage of 240 V within the frequency range of 100 Hz – 3.5 kHz. A peak efficiency of 87 % is reported.

This paper presents an approach for the control of the Lorenz system. We first show that the controlled Lorenz system is differentially flat and then compute the flat output of the Lorenz system. A two degree of freedom design approach is proposed such that the generation of full state feasible trajectory incorporates with the design of a tracking controller via the flat output. The stabilization of an equilibrium state and the tracking of a feasible state trajectory are illustrated.

This paper is an extended abstract of the thesis of J.-S. Briffaut. It treats the active control of flexible structures. In the first part the design of open-loop control laws for beams is considered. In the second the implementation of Komornik's full state feed-back law. In the third and fourth numerical results for the control of frames made of beams under bending and traction-compression.

The design of H ∞ controllers v.thich are based on delayed measurements of the full state vector of linear-time invariant systems is considered. Sufficient conditions are given for a prescribed bound on the H ∞ -norm of the closedloop, in terms of a positive semi-definite solution to an algebraic Riccati equation and by performing a singular values test on an auxiliary delay system. In the case these conditions are satisfied, the resulting controller has the structure of a linear time invariant delay system. The simplicity of the application of the proposed method is illustrated by two examples. The results are extended to the case where the measurement ofeach entry of the state vector is subject to a different delay.

This paper addresses the design of a nonlinear tracking controller for an unmanned aircraft. A State Dependent Riccati Equation (SDRE) method is utilized in a parallel-loop controller structure. We consider a classical approach of separating dynamics of a fixedwing aircraft into longitudinal and lateral. SDRE controllers are designed for each of these control channels. The coupling effects, and nonlinearities are reflected in the extended parametrization models of the channels. A nonlinear simulation model of an aircraft is used to validate the performance of the proposed control algorithm. Simulation results show the effectiveness of the algorithm for a coordinated turn maneuver.

International audience; New strategies are proposed to design GAS controllers for two significant classes of nonlinear flexible systems. Inspired by a non affine control technique, we have designed some novel nonlinear control laws which use the full state in order to enhance the damping of the flexible modes: this new design is all the more interesting than the classes of considered systems belong to non triangular nonlinear systems. Finally, the effectiveness of our approach is illustrated on simplified models of a flexible launcher and spacecraft.

This paper presents an application of reference governors to decentralized constrained systems that consist of multiple connected subsystems. Our approach is based on developing a reference governor for each subsystem and ensuring constraint satisfaction for a tightened set of constraints. In such a way, constraints are handled locally on a subsystem level but ensure constraint-admissibility for the entire system. This research is motivated by its potential use for distributed control of aircraft engines and we report an aircraft engine example to illustrate the theory. We also consider the case of large-scale systems and develop results that do not require the reconstruction of the full state of the plant in each of the subsystems. An example based on interconnected mass-spring-damper systems illustrates the results.

We introduce the definition of full state hybrid projective synchronization (FSHPS) with complex scaling factors for chaotic and hyperchaotic complex systems and design adaptive FSHPS schemes for uncertain chaotic complex systems under bounded disturbances with all possible situations of unknown parameters. The proposed schemes guarantee adaptive FSHPS between two chaotic complex systems with a small error bound and the convergence factors and dynamical control strength are added to regulate the convergence speed and increase robustness. Then we draw on the sufficient condition and necessary condition that the unknown parameters converge to their true values based on the persistency of excitation (PE) and linear independence (LI). At last, we realize adaptive FSHPS between uncertain complex Chen and Lü systems, which verify the feasibility and effectiveness of the presented schemes.