Delay-Dependent Stability Analysis for Uncertain Switched Hopfield Neural Networks with Discrete and Distributed Time-Varying Delays
In this paper,the robust stability of a class of switched Hopfield neural systems with discrete and distributed time-varying delays is considered.The parameter uncertainties are assumed to be norm bounded.Firstly,sufficient conditions for exponential stability criteria of switched Hopfield neural systems are investigated for arbitrary switching signal with average dwell time;Secondly,some criteria are given to guarantee the uncertain switched Hopfield neural systems to be exponential stable for all admissible parametric uncertainties.These results are obtained based on Lyapunovs stability analysis via Krasovsky-Lyapunovs functionals and the related stability study is performed to obtain delay-dependent results.These conditions are expressed in terms of linear matrix inequalities (LMIs).Finally,numerical examples are provided to illustrate the effectiveness of the proposed theory.
XIAO Huimin WANG Chunhua
Institute of Information and Systems Engineering,Henan University of Finance and Economics,Zhengzhou School of Mathematical Sciences,Ocean University of China,Qingdao,266100,P.R.China
国际会议
The 30th Chinese Control Conference(第三十届中国控制会议)
烟台
英文
1-6
2011-07-01（万方平台首次上网日期，不代表论文的发表时间）