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