The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper is concerned with the problem of finite-time H2/H∞ control for linear stochastic systems. First, a new definition of finite-time H2/H∞ control is given. Second, some sufficient conditions for the existence of finite-time H2/H∞ control are obtained, and the relationships among transient performance, H2 performance index and H00 performance index are represented by an algorithm. Finally,...
This paper addresses the issue of lag consensus of the leader-following multiagent systems with communication delays and switching topologies. Lag consensus means that the states of the followers lag that of the leader. Based on the graph theory and the common Lyapunov-Krasovskii functional method, we design a protocol ensuring the lag consensus of multiagent systems with communication delays under...
In this paper, we focus on the output regulation problem with dissipative property for a class of switched stochastic delay systems via average dwell time (ADT) approach. Dissipativity reduces the conservatism by considering the energy change of external input. A auxiliary matrix is introduced to weaken the general constraint on dissipativity parameter matrixes. Less conservative conditions are established...
This paper investigates the state estimation of fractional-order neural networks (FNNs) with time delay. This is the first to study the state estimation for delayed fractional-order nonlinear system. According to fractional-order Lyapunov direct approach together with linear matrix inequalities (LMIs), sufficient criteria are given to ensure the asymptotical stability of the estimation error system...
Periodic event-triggered control for the consensus problem of multi-agent systems is investigated in this paper. Triggering conditions are discussed in two cases: 1) with communication between neighbors at each verification time, 2) with communication at triggering times. Based on Lyapunov theory and algebraic graph theory, consensus conditions on the verification period and triggering condition parameters...
This paper focuses on the H∞ controller design problem for networked Takagi-Sugeno (T-S) fuzzy systems. The outputs measured by the sensor will be subject to saturation phenomenon and suffer packet dropouts during the transmission through unreliable communication links to the remote controller. Both the sensor saturation and the packet dropouts occur randomly which are governed by the Bernoulli distributed...
This paper studies an observer based fault diagnosis problem for the induction motor of CRH2 (China Railway High-Speed Train) traction system with stator current sensor faults and disturbances. Considering the nonlinear characteristics of the induction motor, a T-S fuzzy model is constructed to model the motor. To estimate the states and the sensor faults of the motor, simultaneously, the states of...
The global synchronization problem of complex dynamical networks with memristive neural networks (MNNs) nodes is studied in this paper. By using the Filippov solution and some set-valued maps, the synchronization framework of complex networks with MNNs nodes is presented. Some sufficient criteria ensuring the considered complex networks to be globally exponentially synchronized are derived by using...
This paper investigates the consensus problem of multiple uncertain Lagrangian systems with switching topologies. Due to the discontinuity resulted from switching topologies, achieving consensus in the context of uncertain Lagrangian systems is challenging. We propose a new adaptive controller based on dynamic feedback to resolve this problem and additionally propose a new analysis tool for rigorously...
This paper investigates the problem of finite-time extended dissipative analysis for a class of switched delay systems. By using average dwell-time and linear matrix inequality technique, sufficient conditions are proposed to guarantee the switched delay system is finite-time bounded and has finitetime extended dissipative performance, where the H∞, L2 — L∞, Passivity and (Q, S, Ä)-dissipativity performance...
This study concerns the problem of control for stochastic Markov jump systems with generally uncertain transition rates such that the system is finite-time dissipativity. First, sufficient conditions for finite-time boundedness is obtained by constructing Lyapunov function. Then, a state feedback controller is designed based on the results obtained. Finally, a numerical example is given to verify...
This note deal with H∞ adaptive event-triggered control on a class of networked control systems with randomly occurring nonlinearities. By employing an adaptive controller, the system is against randomly occurring nonlinearities effectively. Based on a Lyapunov functional, the stability criteria are given. Finally, a numerical example is given to illustrate the effectiveness of the obtained results.
This paper studies the controllability problem for weighted digraphs with antagonistic interactions. Based on the graph partition theory, the L-equitable partition(L-EP) is proposed. Using L-equitable partition, a graph-theoretic necessary condition is proposed for the controllability of the multi-agent system and an algorithm is given for the computation of the partition. Besides, the upper bound...
A fault-alarm based hybrid controller design approach for Markovian jump system with actuator fault is investigated in this paper. By using linear matrix inequality (LMI) technology, both robust and reliable controllers are presented, which ensure that the normal systems and the fault systems are robustly stable. Then, in order to reduce the conservativeness of reliable controller design algorithm,...
In this paper, the leader-follower consensus problem for a kind of nonlinear multi-agent systems with general directed communication topologies is studied. For this problem, the dynamics of all agents are identical and nonlinear under the strict form with time-varying exponential growth rate subject to Lipschitz condition constraints. With the aid of the observers of states, a distributed output-based...
This paper uses the good structure characteristics of Hamilton system to study the finite-time stability problem of nonlinear descriptor Hamiltonian system with the constant structure matrices. Firstly, the system is transformed into Hamiltonian differential-algebra system by the equivalent transformation of the system. Then, the system is changed into a strict dissipative Hamiltonian form through...
Stabilization of a class of parameter uncertain stochastic switched fuzzy systems with time-delay based on the T-S model is proposed using switching technology. According to theories and approaches of Lyapunov stability, linear matrix inequality (LMI) and It o formula, it combines the advanced point of stochastic systems and fuzzy switched control systems. State feedback controllers of stochastic...
The stabilization and H∞ control for a class of time-varying delay switched systems with actuator saturation under asynchronous switching is studied in this paper. A convex hull representation is used to describe the actuator saturation. By using piecewise Lyapunov-Krasovskii (L-K) functional and average dwell time approach, the sufficient conditions of stabilization and H∞ control are obtained for...
A novel actuator fault reconstruction scheme based on neural network and adaptive sliding mode observer is presented for a class of nonlinear systems with uncertainty. To improve the accuracy of actuator fault reconstruction, the radial basis function neural network is applied to approximate the uncertainty on line. An adaptive algorithm is designed to modify the gain of the controller by considering...
This paper studies the non-fragile H∞ control for switched linear systems with an event-triggering strategy. With the proposed strategy, the system state is only sampled and updated when the defined error exceeds a given threshold. More in detail, first, based on multi-Lyapunov function method and average dwell time technique, sufficient conditions for the H∞ control performance are given, and subsequently...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.