Finite-time state estimation of stochastic switched delayed neural networks
作者单位：Institute of Information and ControlHangzhou Dianzi University
会议名称：《第36届中国控制会议》
主办单位：Dalian University of Technology;Systems Engineering Society of China (SESC);Technical Committee on Control Theory (TCCT), Chinese Association of Automation (CAA)
会议日期：2017年
学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）]
基 金：supported partially by the Zhejiang Provincial Natural Science Foundation of China under grant LR16F030003 the National Natural Science Foundation of China under grants 61473107 and U1509205
关 键 词：Switched delayed neural networks Stochastic perturbations Finite-time State estimation Average dwell time
摘 要：The issues of mean-square finite-time stability analysis and state estimator design for stochastic switched delayed neural networks are investigated in this paper. A stability criterion with average dwell time constraint is proposed, such that the mean-square value of state is not larger than a prescribed threshold during a given time interval. Then, a state estimator, which ensures mean-square finite-time stability of an augmented system, is designed. A numerical example is provided to demonstrate the effectiveness of the method.