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Abstract: This paper considers the problem of delay-dependent stability criteria for a class of multi-input and multi-output (MIMO) networked control systems (NCSs) with nonlinear perturbation. Due to many independent sensors and actuators existed in the MIMO networked control systems, a distributed time delays networked control systems with structured uncertainties and external nonlinear perturbation is proposed in this paper. Based on Lyapunov stability theory combined with the descriptor system approach and linear matrix inequalities (LMIs) techniques, some novel and improved sufficient conditions are derived to the delay-dependent stability of these systems. By solving a convex optimization problem of the linear matrix inequality (LMI), the maximum upper bound of the allowable delay can be obtained. Compared to the existing criterions on this aspect, the proposed criteria gives a much less conservative maximum allowable delay bound. Numerical examples and simulations illustrate that our conditions are feasible and are less conservative than previous ones. [Copyright &y& Elsevier]

Abstract: The absolute stability of Lurie system with multiple time-delays and nonlinearities is considered in this paper. Based on the Lyapunov stability theory and the approaches of decomposing the matrices and adding modulatory matrices, a novel delay-dependent sufficient condition for the absolute stability is derived and expressed in the form of the linear matrix inequality (LMI). A numerical example shows that the result obtained in this paper improved the estimate of the stability limit over some existing results. [Copyright &y& Elsevier]

Abstract: In this paper, we will give a novel criterion for the global stabilization of the zero solutions of a class of neural networks with varying delays and control input described by nonlinear delay differential equations of the neutral type. By using the method of Liapunov–Krasovskii functions, some sufficient conditions for ensuring the global stability of these neutral systems of neural networks are obtained. Some examples are included to illustrate the feasibleness of our results. [Copyright &y& Elsevier]