Adaptive iterative learning control for nonlinear uncertain systems with both state and input constraints
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Publication:325868
DOI10.1016/j.jfranklin.2016.07.007zbMath1347.93145OpenAlexW2504988639MaRDI QIDQ325868
Qiongxia Yu, Ronghu Chi, Zhongsheng Hou
Publication date: 11 October 2016
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jfranklin.2016.07.007
external disturbancesadaptive iterative learning control (AILC)random initial errorstime-varying parametric uncertainties
Learning and adaptive systems in artificial intelligence (68T05) Nonlinear systems in control theory (93C10) Control/observation systems with incomplete information (93C41) Perturbations in control/observation systems (93C73)
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