Fault Diagnosis and Reliable Configuration of Uncertain Strip Area Based on MPSO-SVM
作者单位：College of Mathematics and System ScienceShenyang Normal University Department of Basic EducationShenyang Institute of Engineering
会议名称：《第40届中国控制会议》
会议日期：2021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)] 08[工学] 081104[工学-模式识别与智能系统] 081105[工学-导航、制导与控制] 080401[工学-精密仪器及机械] 0804[工学-仪器科学与技术] 080402[工学-测试计量技术及仪器] 0838[工学-公安技术] 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）]
关 键 词：reliable control support vector machine pole observer particle swarm optimization algorithm grid search method genetic algorithm
摘 要：For a class of linear uncertain flight control systems,in terms of the strip region,the problem of actuator continuous gain fault and reliable control is *** the same time,in order to solve the difficulty of selecting parameters of support vector machine,a parameter optimization algorithm based on improved Particle Swarm Optimization（MPSO） is *** with grid search method,particle swarm optimization and genetic algorithm,this method has the advantages of fast convergence,short time consuming and high *** the problem that the pole information is difficult to obtain,the algorithm theory of pole observer is given to realize the real-time observation of unknown ***,the effectiveness of reliable controller design is further proved by numerical simulation.