Norm-optimal iterative learning control with application to problems in accelerator-based free electron lasers and rehabilitation robotics

DOI10.3166/EJC.16.497-522zbMath1216.93077OpenAlexW2149691981MaRDI QIDQ629667

David H. Owens, Chris T. Freeman, Herbert Werner, Stefan Kichhoff, Paul L. Lewin, Eric Rogers, Gerwald Lichtenberg, Christian Schmidt

Publication date: 9 March 2011

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

Full work available at URL: https://doi.org/10.3166/ejc.16.497-522

zbMATH Keywords

algorithmsiterative learning controltheoryexperimental application

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Application models in control theory (93C95) Automated systems (robots, etc.) in control theory (93C85) Medical applications (general) (92C50)

Related Items (10)

Computationally‐Light Non‐Lifted Data‐Driven Norm‐Optimal Iterative Learning Control ⋮ Linearly monotonic convergence of nonlinear <scp>parameter‐optimal</scp> iterative learning control to linear discrete‐time‐invariant systems ⋮ Data-driven gradient-based point-to-point iterative learning control for nonlinear systems ⋮ An intelligent parameter determination approach in iterative learning control ⋮ Experimentally verified point‐to‐point iterative learning control for highly coupled systems ⋮ Iterative learning in optimal control of linear dynamic processes ⋮ Real‐time iterative learning control‐two applications with time scales between years and nanoseconds ⋮ Iterative Learning in Repetitive Optimal Control of Linear Dynamic Processes ⋮ An inverse-model approach to multivariable norm optimal iterative learning control with auxiliary optimisation ⋮ Multivariable norm optimal iterative learning control with auxiliary optimisation

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