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In this paper, global synchronization is discussed for chaotic neural networks time-varying delay. An effective synchronization law in matrix inequality form has been derived for time-varying delayed chaotic neural networks based on Lyapunov method and LMI technique. The advantage of the proposed approach can be performed efficiently via numerical algorithms such as the interior-point algorithms for...
This paper deals with the problem of guaranteed cost control for uncertain stochastic systems with state and input-delays. Attention is focused on the design of a state feedback controller such that the resulting closed-loop system is mean-square asymptotically stable and guarantees that a given quadratic cost function has an upper bound. In terms of a linear matrix inequality (LMI), a sufficient...
A new Lyapunov-Krasovskii functional is constructed for a class of neural networks with time-varying delay, and some free-weighting matrices and S-procedure are employed to derive the delay-dependent stability criterion. The derived criterion is formulated in terms of linear matrix inequalities (LMIs). A numerical example is given to demonstrate the effectiveness and applicability of the criterion
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