Adaptive iterative learning control with trajectory shift

Autor:	WANG Shouqin, HE Xingshi, GENG Yan
Jazyk:	čínština
Rok vydání:	2022
Předmět:	trajectory shift adaptive iterative learning control parameter matrix estimation linear system boundedness Materials of engineering and construction. Mechanics of materials TA401-492 Environmental engineering TA170-171
Zdroj:	Xi'an Gongcheng Daxue xuebao, Vol 36, Iss 5, Pp 119-125 (2022)
Druh dokumentu:	article
ISSN:	1674-649X 1674-649x
DOI:	10.13338/j.issn.1674-649x.2022.05.016
Popis:	In order to solve the problem of trajectory shift in iterative learning control, an adaptive iterative learning control strategy was proposed. For linear time-varying systems with unknown parameters, an adaptive parameter updating algorithm was constructed by solving a quadratic programming problem. The estimated parameter information and trajectory information with shift were used to design an adaptive iterative learning control strategy. The results show that the estimation error of parameters is bounded, and the tracking error of the system is bounded when the trajectory shift is bounded. The effectiveness and practicability of the proposed adaptive iterative learning control strategy are verified by numerical simulation.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/43a22c0802964247900b69f07a8e0046 Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF