Fault tolerant control for a class of T-S fuzzy systems using two channel event-triggered communication schemes
作者单位：College of Information Science and TechnologyDonghua University College of Information EngeneringNanjing University of Finance and Economics School of Electrical and Automation EngineeringNanjing Normal 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：08[工学] 0835[工学-软件工程] 0802[工学-机械工程] 080201[工学-机械制造及其自动化]
基 金：partly supported by the National Natural Science Foundation of China(no.61403185,no.61640313) Six TalentPeaks Project in Jiangsu Province(no.2015-DZXX-021) Qing Lan Project Major project supported by the Natural Science Foundation of the Jiangsu Higher Education Institutions of China(Grant No.15KJA120001) the Natural Science Foundation of Jiangsu Province of China(No.BK20161023) the Natural Science Foudation of the Jiangsu Higher Education Institutions of China(No.16KJB520015) Jiangsu Agricutural Science and Technology Independent Innovation Fund Project(no.CX(15)1051)
关 键 词：event-triggered scheme probabilistic actuator failure time delay T-S fuzzy systems
摘 要：This paper addresses event-triggered fault tolerant controller design for a class of T-S fuzzy *** two channel event-triggered communication schemes is introduced to reduce network resource *** key idea is that only the newly sampled-data is transmitted only when it violates specified triggering condition.A logic zero order holder is used to choose the latest transmitted data packet and discard the disordering *** the effect of the network transmission delay and probabilistic actuator fault with different failure rates,based on the T-S fuzzy model,a new event-triggered networked T-S fuzzy systems is *** on the newly built model,a stability criterion and a stabilization criterion for the networked T-S fuzzy systems are derived,***,a co-design algorithm for simultaneously determining the gain matrices of the fuzzy controller and the triggering parameters is ***,a numerical example is given to demonstrate the effectiveness of the proposed method.