Newton method based iterative learning control for discrete non-linear systems

DOI10.1080/00207170600821187zbMath1330.93250OpenAlexW2035647536MaRDI QIDQ5491919

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Publication date: 11 October 2006

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

Full work available at URL: https://doi.org/10.1080/00207170600821187

Mathematics Subject Classification ID

Related Items (8)

Modified Newton method based iterative learning control design for discrete nonlinear systems with constraints ⋮ An alternative update formula for non-linear model-based iterative learning control ⋮ A data-driven adaptive ILC for a class of nonlinear discrete-time systems with random initial states and iteration-varying target trajectory ⋮ Data-driven gradient-based point-to-point iterative learning control for nonlinear systems ⋮ Design of iterative learning control method with global convergence property for nonlinear systems ⋮ Estimation-based norm-optimal iterative learning control ⋮ Monotonic Newton method based ILC with parameter optimization for non-linear systems ⋮ Contraction analysis of nonlinear noncausal iterative learning control

Cites Work

• Convergence and robustness of discrete time nonlinear systems with iterative learning control
• Analysis of iterative learning control for a class of nonlinear discrete-time systems
• Analysis of linear iterative learning control schemes -- a 2D systems/repetitive processes approach
• On the P-type and Newton-type ILC schemes for dynamic systems with non-affine-in-input factors
• Robust optimal design and convergence properties analysis of iterative learning control approaches
• Perfect tracking for maximum-phase nonlinear systems by iterative learning control
• Predictive optimal iterative learning control
• Iterative learning control for discrete-time systems with exponential rate of convergence
• A discrete iterative learning control for a class of nonlinear time-varying systems
• Iterative learning control using optimal feedback and feedforward actions

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