Modified Newton method based iterative learning control design for discrete nonlinear systems with constraints

DOI10.1016/j.sysconle.2018.05.007zbMath1402.93135OpenAlexW2807984259MaRDI QIDQ1624898

Krzysztof Gałkowski, Wojciech Paszke, Eric Rogers, Hui-Zhong Yang, Hong-Feng Tao

Publication date: 16 November 2018

Published in: Systems \& Control Letters (Search for Journal in Brave)

Full work available at URL: https://eprints.soton.ac.uk/421835/1/sclplan.pdf

zbMATH Keywords

constrained optimizationiterative learning controldiscrete nonlinear systemsmodified Newton method

Mathematics Subject Classification ID

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

Related Items

Data-driven gradient-based point-to-point iterative learning control for nonlinear systems ⋮ Data-driven iterative feedforward control with rational parametrization: achieving optimality for varying tasks

Cites Work

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• Combined inverse and gradient iterative learning control: performance, monotonicity, robustness and non‐minimum‐phase zeros
• Newton method based iterative learning control for discrete non-linear systems
• A stabilizing model-based predictive control algorithm for nonlinear systems

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