H∞ control and delay-dependent stabilization for neural networks with discrete and distributed time-varying delays using a new integral inequality approach
This paper is focused on the problem of delay-dependent stabilization for neural networks(NNs)with discrete and distributed time-varying delays.The main objective of this work is to design a H∞ control law to ensure the asymptotical stability of the closed-loop system.Besides,the less conservative stability criterion is derived in terms of linear matrix inequalities(LMIs)by constructing an appropriate Lyapunov-Krasovskii functionals and some effective mathematical technique.Furthermore,by using a new integral inequality which is showed to have a great potential efficient in practice,an improved sufficient condition is presented for the existence of the H∞ control problem.At last,two numerical examples are given to demonstrate the effectiveness and the advantage of the proposed method.
Neural networks (NNs) H∞ control Time-varying delays Lyapunov-Krasovskii functional Linear matrix inequalities (LMIs)
SHI Kaibo ZHU Hong ZHONG Shouming ZENG Yong ZHANG Yuping
School of Automation Engineering,University of Electronic Science and Technology of China,Chengdu,Si School of Mathematical Sciences,University of Electronic Science and Technology of China,Chengdu,Sic
国际会议
The 33th Chinese Control Conference第33届中国控制会议
南京
英文
4977-4982
2014-07-28（万方平台首次上网日期，不代表论文的发表时间）