Multivariable norm optimal and parameter optimal iterative learning control: a unified formulation

DOI10.1080/00207179.2012.673136zbMath1282.93168OpenAlexW1980908390MaRDI QIDQ5745600

David H. Owens

Publication date: 30 January 2014

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

Full work available at URL: https://doi.org/10.1080/00207179.2012.673136

zbMATH Keywords

optimal controloptimisationiterative learning controlnorm optimal iterative learning controlparameter optimal iterative learning control

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Multivariable systems, multidimensional control systems (93C35) Discrete-time control/observation systems (93C55)

Related Items (4)

Consensus control for multi-agent systems with distributed parameter models via iterative learning algorithm ⋮ Bounded‐input iterative learning control: Robust stabilization via a minimax approach ⋮ Linearly monotonic convergence of nonlinear <scp>parameter‐optimal</scp> iterative learning control to linear discrete‐time‐invariant systems ⋮ Experimentally verified point‐to‐point iterative learning control for highly coupled systems

Cites Work

• Basis functions and parameter optimisation in high-order iterative learning control
• Modelling of non-minimum phase effects in discrete-time norm optimal iterative learning control
• Robust monotone gradient-based discrete-time iterative learning control
• Limit sets and switching strategies in parameter-optimal iterative learning control
• Predictive optimal iterative learning control
• Iterative learning control for discrete-time systems with exponential rate of convergence
• Parameter optimization in iterative learning control
• Iterative learning control using optimal feedback and feedforward actions
• Discrete-time inverse model-based iterative learning control: stability, monotonicity and robustness

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