Finite-time passivity of discrete Markov jump 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：Markov jump neural networks Finite-time boundedness Passivity Nonlinear sensor perturbations Delay
摘 要：This paper investigates the problem of mean square finite-time passivity for discrete-time Markov jump neural networks with time delays and stochastic perturbations. In the measurement equation, a class of sensor nonlinearities are considered,which cover the standard Lipschitz condition as a special one. A sufficient mean square finite-time boundedness condition is established based on Lyapunov-like functional method. The mean square finite-time passivity result for the system with nonlinear sensor perturbations is then obtained. A numerical example is presented to show the applicability of the proposed results.