title: New stability criteria for uncertain neural networks with interval time-varying delays.
abstract: This paper is concerned with the stability analysis for neural networks with interval time-varying delays and parameter uncertainties. An approach combining the Lyapunov-Krasovskii functional with the differential inequality and linear matrix inequality techniques is taken to investigate this problem. By constructing a new Lyapunov-Krasovskii functional and introducing some free weighting matrices, some less conservative delay-derivative-dependent and delay-derivative-independent stability criteria are established in term of linear matrix inequality. And the new criteria are applicable to both fast and slow time-varying delays. Three numerical examples show that the proposed criterion are effective and is an improvement over some existing results in the literature.
authors.affiliation: College of Computer Science and Engineering, Chongqing University, Chongqing, 400044, China, ammewu@163.com.
authors.forename: Haixia
authors.initials: H
authors.lastname: Wu
authors.forename: Wei
authors.initials: W
authors.lastname: Feng
authors.forename: Xinyuan
authors.initials: X
authors.lastname: Liang