Iterative learning control design with high‐order internal model for discrete‐time nonlinear systems

DOI10.1002/RNC.3732zbMath1386.93191OpenAlexW2563768865MaRDI QIDQ4599679

Baobin Liu, Miao Yu, Wei Zhou

Publication date: 4 January 2018

Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/rnc.3732

zbMATH Keywords

nonlinear systemsdiscrete-time systemsintegratoriterative learning control (ILC)high-order internal model (HOIM)iteration-varying desired trajectory

Mathematics Subject Classification ID

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

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Robust high-order iterative learning control approach for two-dimensional linear discrete time-varying Fornasini–Marchesini systems with iteration-dependent reference trajectory ⋮ Adaptive iterative learning control for discrete‐time nonlinear systems with multiple iteration‐varying high‐order internal models ⋮ Robust learning‐based lateral tracking control for autonomous driving with input constraints

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