Minimum entropy fault tolerant control for non-Gaussian singular stochastic distribution system

摘要：

　　This paper presents a new fault diagnosis(FD)and fault tolerant control(FTC)algorithm for a discrete-time non-Gaussian singular stochastic distribution control(SDC)system.Different from general SDC systems,the difficulty increases in the FD and FTC design of the singular SDC system as the relationship between the weights and the control input is expressed by a singular state space mode.Adaptive observer is used to diagnose the fault of the singular stochastic distribution system.Furthermore,the gain of the observer and adaptive updated law can be formulated by solving the corresponding linear matrix inequality(LMI)approach.Entropy is used to represent the output randomness of the non-Gaussian stochastic system when the target probability density function(PDF)is not known in advance.Based on the estimated fault information,the controller is reconfigured by minimizing the performance function with regard to the entropy subject to mean constraint.The recongured controller can make the output of the post-fault SDC system still have minimum uncertainty,leading to the minimum entropy FTC of the non-Gaussian singular SDC system.Computer simulations are given to demonstrate the validity of the fault diagnosis and minimum entropy FTC algorithms.

关键词： Singular SDC system Minimum entropy Fault tolerant control Probability density function

作者: Lina YAO Junjie XU Fangyan XU

作者单位: School of Electrical Engineering,Zhengzhou University,Zhengzhou 450001,China

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 3041-3046

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）