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Impulsive synchronization results are presented for discrete-time neural networks with delay, using linear matrix inequality and vector Lyapunov function techniques. The synchronizing impulses are assumed to contain non-delayed, as well as delayed terms. An example is given to illustrate the effectiveness of the results.
This paper is concerned with the problem of fuzzy H∞ filtering for a class of discrete-time Takagi-Sugeno fuzzy systems with delayed measurement. The purpose of the addressed filtering problem is to design a fuzzy filter such that the filtering error dynamics is asymptotically stable with a prescribed performance level. The fuzzy Lyapunov function approach is adopted and delay-dependent sufficient...
This paper is concerned with the asymptotic stability for Takagi-Sugeno (T-S) fuzzy systems with interval time-varying delay. By constructing an appropriate type of fuzzy weighting-dependent Lyapunov functional and adopting the free-weighting matrix method, a new delay-dependent stability criterion is derived in terms of linear matrix inequalities(LMIs). Due to the reservation of some useful terms...
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