Iterative learning of model reference adaptive controller for uncertain nonlinear systems with only output measurement

DOI10.1016/j.automatica.2003.12.009zbMath1050.93046OpenAlexW2050279275MaRDI QIDQ1879597

Chiang-Ju Chien, Chia-Yu Yao

Publication date: 23 September 2004

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2003.12.009

zbMATH Keywords

robustnessnonlinear systemsiterative learning controlmodel reference adaptive control

Mathematics Subject Classification ID

Design techniques (robust design, computer-aided design, etc.) (93B51) Adaptive control/observation systems (93C40)

Related Items (8)

Decentralized adaptive fuzzy neural iterative learning control for nonaffine nonlinear interconnected systems ⋮ An ILC scheme for a class of nonlinear continuous-time systems with time-iteration-varying parameters subject to second-order internal model ⋮ Adaptive iterative learning control for discrete‐time nonlinear systems with multiple iteration‐varying high‐order internal models ⋮ A unified adaptive control approach of nonlinear continuous non‐parameterized systems with asymmetric control gains for trajectory tracking in different domains ⋮ Adaptive ILC for a class of discrete-time systems with iteration-varying trajectory and random initial condition ⋮ A synthetic approach for robust constrained iterative learning control of piecewise affine batch processes ⋮ Limit or limit superior? observations on the convergence of some iterative learning control schemes ⋮ Robust adaptive learning control for nonlinear systems with extended matching unstructured uncertainties

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