A P-type iterative learning controller for robust output tracking of nonlinear time-varying systems

DOI10.1080/00207179608921630zbMath0863.93040OpenAlexW2088104099MaRDI QIDQ4880905

Jing-Sin Liu, Chiang-Ju Chien

Publication date: 3 June 1997

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

Full work available at URL: https://doi.org/10.1080/00207179608921630

zbMATH Keywords

robustnessnonlinear systemsrobust output trackingiterative controller

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Design techniques (robust design, computer-aided design, etc.) (93B51) Adaptive control/observation systems (93C40) Model systems in control theory (93C99)

Related Items (14)

Iterative learning of model reference adaptive controller for uncertain nonlinear systems with only output measurement ⋮ Adaptive iterative learning control for nonlinear pure-feedback systems with initial state error based on fuzzy approximation ⋮ Observer-based adaptive iterative learning control for a class of nonlinear time delay systems with input saturation ⋮ Second-order iterative learning control for a class of switched discrete-time systems with model uncertainties, external noises and time-delay ⋮ Model predictive control of batch processes based on two-dimensional integration frame ⋮ Adaptive ILC for a class of discrete-time systems with iteration-varying trajectory and random initial condition ⋮ Adaptive robust iterative learning control with dead zone scheme ⋮ An output-based adaptive iterative learning controller for high relative degree uncertain linear systems. ⋮ An intelligent parameter determination approach in iterative learning control ⋮ Analysis of two particular iterative learning control schemes in frequency and time domains ⋮ Sampled-data iterative learning control for nonlinear systems with arbitrary relative degree ⋮ A P-type Iterative Learning Controller for Uncertain Robotic Systems with Exponentially Decaying Error Bounds ⋮ Stochastic P-type/D-type iterative learning control algorithms ⋮ A new AILC for a class of nonlinearly parameterized systems with unknown delays and input dead-zone

Cites Work

• Unnamed Item
• An iterative learning control theory for a class of nonlinear dynamic systems
• Adaptive control of linearizable systems

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