Improved asymptotic stability criteria for neural networks with interval time-varying delay

摘要

The problem of delay-dependent asymptotic stability criteria for neural networks (NNs) with time-varying interval delay is investigated. A new class of Lyapunov functional is constructed to derive some novel delay-dependent stability criteria. The obtained criterion is less conservative because free-weighting matrix method and the technique of dealing with some integral terms are considered. Finally, a numerical example is given to demonstrate the effectiveness of the proposed method.