State estimation for neural neutral-type networks with mixed time-varying delays and Markovian jumping parameters  

作　　者：S.Lakshmanan Ju H.Park H.Y.Jung P.Balasubramaniam 

机构地区：[1]Department of Information and Communication Engineering/Electrical Engineering, Yeungnam University,214-1 Dae-Dong,Kyongsan 712-749,Republic of Korea [2]Department of Mathematics,Gandhigram Rural Institute-Deemed University,Gandhigram - 624 302,Tamilnadu,India

出　　处：《Chinese Physics B》2012年第10期29-37,共9页中国物理B（英文版）

基　　金：Project supported by the 2010 Yeungnam University Research Grant

摘　　要：This paper is concerned with a delay-dependent state estimator for neutral-type neural networks with mixed timevarying delays and Markovian jumping parameters.The addressed neural networks have a finite number of modes,and the modes may jump from one to another according to a Markov process.By construction of a suitable Lyapunov-Krasovskii functional,a delay-dependent condition is developed to estimate the neuron states through available output measurements such that the estimation error system is globally asymptotically stable in a mean square.The criterion is formulated in terms of a set of linear matrix inequalities（LMIs）,which can be checked efficiently by use of some standard numerical packages.This paper is concerned with a delay-dependent state estimator for neutral-type neural networks with mixed timevarying delays and Markovian jumping parameters.The addressed neural networks have a finite number of modes,and the modes may jump from one to another according to a Markov process.By construction of a suitable Lyapunov-Krasovskii functional,a delay-dependent condition is developed to estimate the neuron states through available output measurements such that the estimation error system is globally asymptotically stable in a mean square.The criterion is formulated in terms of a set of linear matrix inequalities（LMIs）,which can be checked efficiently by use of some standard numerical packages.

关 键 词：neural networks state estimation neutral delay Markovian jumping parameters 

分 类 号：O211.62[理学—概率论与数理统计] TM744[理学—数学]