Adaptive Iterative Learning Control for Non‐Strictly Repeatable Systems With Unknown Control Gains

ABSTRACT This work investigates the adaptive iterative learning control (AILC) problem for nonstrictly repeatable systems subject to unknown control gains. Different to the existing results, we novelly transform the unknown control gain into a kind of norm‐bounded uncertainty, based on which a novel...

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Veröffentlicht in:	International journal of robust and nonlinear control Jg. 35; H. 13; S. 5519 - 5528
Hauptverfasser:	Li, Xuefang, Shen, Ruohan, Zhang, Shuyu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hoboken, USA John Wiley & Sons, Inc 10.09.2025 Wiley Subscription Services, Inc
Schlagworte:	Control systems iteration‐varying trial lengths iterative learning control Learning nonidentical initial states unknown control gain
ISSN:	1049-8923, 1099-1239
Online-Zugang:	Volltext
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