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In the current paper, exponential synchronization is discussed for chaotic neural networks with time-varying delays. Based on Lyapunov stability theory and linear matrix inequality (LMI), a nonlinear feedback control scheme is designed to synchronize the drive system and the response one. The obtained sufficient conditions are in the forms of LMI, so much easier to verify. Moreover, numerical simulation...
This paper mainly concerns with the analysis and design for a class of nonlinear networked control systems (NCSs), which can be represented by a T-S fuzzy model with interval time-varying network delay. By using the convexity of the matrix function, the conservatism caused by enlarging?? (t) to ??M can be avoided. The controller parameters that guarantee the asymptotical stability and the performance...
This paper addresses the robust fuzzy control problem for nonlinear multiple time-delay large-scale systems in the presence of modeling errors and the state variables unavailable for measurement. The Takagi-Sugeno (T-S) fuzzy control system with modeling errors is adopted for modeling the nonlinear multiple time-delay large-scale systems and establishing fuzzy state observer. In terms of Lyapunovpsilas...
A new method is proposed to design delay-dependent stability controller for nonlinear systems with time-varying delay in this paper. It is presented by introducing a new type of Lyapunov function. Different from the general processing method, no any term is ignored during the process of analyzing. The controller is obtained by considering the additional useful terms, which were ignored in previous...
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