4.7 Article

Finite-time boundedness and stabilization of uncertain switched neural networks with time-varying delay

期刊

NEURAL NETWORKS
卷 69, 期 -, 页码 135-143

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.neunet.2015.05.006

关键词

Finite-time boundedness; Switched neural networks; Time-varying delay; Lyapunov-like function; Average dwell time

资金

  1. Deanship of Scientific Research (DSR), King Abdulaziz University [17-130-36-HiCi]
  2. DSR

向作者/读者索取更多资源

This paper deals with the finite-time boundedness and stabilization problem for a class of switched neural networks with time-varying delay and parametric uncertainties. Based on Lyapunov-like function method and average dwell time technique, some sufficient conditions are derived to guarantee the finite-time boundedness of considered uncertain switched neural networks. Furthermore, the state feedback controller is designed to solve the finite-time stabilization problem. Moreover, the proposed sufficient conditions can be simplified into the form of linear matrix equalities for conveniently using Matlab LMI toolbox. Finally, two numerical examples are given to show the effectiveness of the main results. (C) 2015 Elsevier Ltd. All rights reserved.

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