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This paper concerns delay-dependent robust H∞ filtering with pole constraints for neutral delay systems with uncertainty. Here the uncertainty is assumed to be of polytopic type, which belongs to a known convex compact set. Based on the Lyapunov-Krasovskii functional and free-weighting matrices, a new delay-dependent filtering criterion is proposed which ensure the error system be stability. A stable...
This paper investigates the problem of robust stability for a class of uncertain discrete-time stochastic recurrent neural networks (RNNs) with Markovian jumping parameters and mode-dependent delays. Stochastic item is nonlinear, and jumping parameters are considered as discrete time, discrete-state Markov process. We can get novel robust stability conditions in terms of linear matrix inequality (LMI)...
The global robust exponential stability of a class of uncertain neural networks with distributed delays is investigated in this paper. The uncertainties is in the form of polytopic type. The relaxed condition is obtained for the introduction of parameter-dependent Lypaunov-Krasovskii functionals and free-weighting matrices which guarantee the robust global exponential stability of the equilibrium...
This paper investigates the problems of delay-dependent robust H-infinity stability and stabilization for uncertain time-delay systems with stochastic perturbations. Some new delay-dependent stability criteria are devised by taking the relationship between the terms in the Leibniz-Newton formula into account. Free weighting matrices are used to express this relationship and the new criteria are less...
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