Multi-lagged-input iterative dynamic linearization based data-driven adaptive iterative learning control

DOI10.1016/j.jfranklin.2018.10.010zbMath1405.93134OpenAlexW2897192864WikidataQ129070417 ScholiaQ129070417MaRDI QIDQ1757516

Biao Huang, Ronghu Chi, Zhongsheng Hou, Na Lin

Publication date: 15 January 2019

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2018.10.010

zbMATH Keywords

adaptive iterative learning controliterative dynamic linearization

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Discrete-time control/observation systems (93C55) Stochastic learning and adaptive control (93E35)

Related Items

Data‐based analysis of iterative learning control for MIMO nonaffine nonlinear systems with multiple nonrepetitive uncertainties, Observer based switching ILC for consensus of nonlinear nonaffine multi-agent systems, Quantisation compensated data-driven iterative learning control for nonlinear systems

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