Delay-Dependent Passivity Analysis for Delayed Neural Networks with Markovian Jumping Parameters
This paper deals with the problems of passivity analysis for a class of delayed neural networks whith Markovian jumping parameters.New delay-dependent passivity critira conditions for the neural networks concerned are obtained by using a mode-dependent Lyapunov functional and introducing some slack variables.These conditions are expressed by means of linear matrix inequalities (LMIs)which are easy to check.Different from lierature 27 ,the time-varying delay interval is more general and the uncertainties are Markovian form ,thus covers the system studied in 27 as a special case.
LI Yongmin FEI Shumin XIA Jianwei CHU Yuming
School of Science,Huzhou Teachers College,Huzhou 313000,P.R.China School of Automation,Southeast Uni School of Automation,Southeast University,Nanjing 210096,P.R.China School of Science,Huzhou Teachers College,Huzhou 313000,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
1-5
2011-07-01（万方平台首次上网日期，不代表论文的发表时间）