期刊
NONLINEAR ANALYSIS-HYBRID SYSTEMS
卷 23, 期 -, 页码 27-43出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.nahs.2016.06.004
关键词
Average dwell time approach; Finite-time boundedness; Finite-time control design; L-2-gain analysis; Lyapunov-Krasovskii functional; Switched neural networks
This paper is concerned with the problem of finite-time boundedness, L-2 gain analysis and control of Markovian jump switched neural networks (MJSNNs) with additive time varying delays. Sufficient conditions to guarantee finite-time bounded of MJSNNs with additive time-varying delays are presented. These conditions are delay-dependent and are given in terms of linear matrix inequalities (LMIs). Moreover, finite-time L-2-gain analysis of switched neural networks with additive time-varying delays are given to measure its disturbance tolerance capability in the fixed time interval. In addition finite-time control of MJSNNs is studied. Detailed proofs are accomplished by using Lyapunov-functionals and average dwell time approach (ADT). Finally, numerical example is given to demonstrate the effectiveness of the proposed approach. (C) 2016 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据