Machine learning based iterative learning control for non‐repetitive time‐varying systems

DOI10.1002/rnc.6272arXiv2107.00421OpenAlexW3173798790MaRDI QIDQ6190208

Yi-Yang Chen, Themistoklis Charalambous, Unnamed Author

Publication date: 6 February 2024

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

Full work available at URL: https://arxiv.org/abs/2107.00421

zbMATH Keywords

parameter estimationtime-varying systemsiterative learning controllinear regressionmachine learning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Iterative learning control (93B47)

Related Items (1)

Iterative learning control with parameter estimation for non-repetitive time-varying systems

Cites Work

• Iterative learning control for discrete nonlinear systems with randomly iteration varying lengths
• Extended state observer based indirect-type ILC for single-input single-output batch processes with time- and batch-varying uncertainties
• Adaptive ILC for a class of discrete-time systems with iteration-varying trajectory and random initial condition
• Multivariable norm optimal iterative learning control with auxiliary optimisation
• An Iterative Learning Control Approach for Linear Systems With Randomly Varying Trial Lengths
• Robust Iterative Learning Control for Nonrepetitive Uncertain Systems
• On the Goldstein-Levitin-Polyak gradient projection method
• Fully Distributed Formation-Containment Control of Heterogeneous Linear Multiagent Systems
• Accelerated norm-optimal iterative learning control algorithms using successive projection

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