Synchronization for Competitive Neural Networks by Output Feedback and Impulsive Control
作者单位：College of Mathematics Sciences Xinjiang Normal University
会议名称：《第25届中国控制与决策会议》
会议届次：25th
主办单位：IEEE;NE Univ;IEEE Ind Elect Chapter;IEEE Harbin Sect Control Syst Soc Chapter;Guizhou Univ;IEEE Control Syst Soc;Syst Engn Soc China;Chinese Assoc Artificial Intelligence;Chinese Assoc Automat;Tech Comm Control Theory;Chinese Assoc Aeronaut;Automat Control Soc;Chinese Assoc Syst Simulat;Simulat Methods & Modeling Soc;Intelligent Control & Management Soc
会议日期：2013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 by the Natural Science Foundation of Xinjiang(2010211B12)
关 键 词：Competitive neural networks Impulsive control Synchronization LMI method.
摘 要：In this paper, a linear static output feedback impulsive control law is designed to achieve globally exponential synchronization of coupled delayed competitive neural networks with different time scales. By using Lyapunov functional method and mathematical induction method, some sufficient conditions for globally exponential synchronization of coupled neural networks via output feedback impulsive control are established. With the help of LMI solvers, a linear output feedback impulsive controllers can be obtained easily. An example with numerical simulation is given to demonstrate the effectiveness of the theory results.