Fuzzy PID Iterative learning control for a class of Nonlinear Systems with Arbitrary Initial Value

	Fuzzy PID Iterative learning control for a class of Nonlinear Systems with Arbitrary Initial Value
	Hao, Xiaohong; Wang, Dongjiang
	2017
关键词	Nonlinear system Arbitrary initial value Fuzzy PID Iterative learning control Norm theory Operator theory
卷号	59
页码	304-311
英文摘要	Aiming at a class of nonlinear systems running repeatedly in the study of the convergence of iterative learning control, a PID fuzzy iterative learning control algorithm has been proposed in the arbitrary initial value using fuzzy PID control algorithm, using traditional experience PID parameters by reference, and experiencing real-time correction of PID parameters, generating higher precision fuzzy PID learning law. The use of operator theory and the theory of convergence norm has been proved by simulation experiment, nonlinear systems under arbitrary initial conditions, the use of fuzzy PID iterative learning control algorithm, the system converges faster, higher tracking accuracy, the output of the error curve faster tends to zero. The results of the demonstrates the effectiveness of the algorithm.
会议录	PROCEEDINGS OF THE 2016 7TH INTERNATIONAL CONFERENCE ON EDUCATION, MANAGEMENT, COMPUTER AND MEDICINE (EMCM 2016)
会议录出版者	ATLANTIS PRESS
会议录出版地	29 AVENUE LAVMIERE, PARIS, 75019, FRANCE
语种	英语
WOS研究方向	Business & Economics ; Computer Science ; Education & Educational Research
WOS记录号	WOS:000429718100059
内容类型	会议论文
源URL	[http://119.78.100.223/handle/2XXMBERH/36257]
专题	电气工程与信息工程学院
通讯作者	Hao, Xiaohong
作者单位	Lanzhou Univ Technol, Sch Comp & Commun, Lanzhou 730050, Gansu, Peoples R China
推荐引用方式 GB/T 7714	Hao, Xiaohong,Wang, Dongjiang. Fuzzy PID Iterative learning control for a class of Nonlinear Systems with Arbitrary Initial Value[C]. 见:.