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This paper considers the problem of delay-dependent H∞ state estimation for discrete-time neural networks with interval time-varying delays and probabilistic diverging disturbances. By constructing a newly augmented Lyapunov–Krasovskii functional, a less conservative criterion for the existence of the estimator of discrete-time neural networks without disturbances is introduced in Theorem 1 with the...
In this paper, the problem of delay-dependent stability for discrete-time neural networks with time-varying delays is investigated. By constructing a newly augmented Lyapunov–Krasovskii functional, a sufficient condition for guaranteeing the asymptotic stability of the concerned network is derived in the framework of linear matrix inequalities. Also, a further improved stability condition is developed...
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