Data-driven optimal PID type ILC for a class of nonlinear batch process

DOI10.1080/00207721.2020.1825872zbMath1483.93169OpenAlexW3090637381MaRDI QIDQ5027985

Cheng Shao, Furqan Memon

Publication date: 8 February 2022

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207721.2020.1825872

zbMATH Keywords

iterative learning control (ILC)optimal ILCdata driven ILCPID iterative learning control

Mathematics Subject Classification ID

Feedback control (93B52) Nonlinear systems in control theory (93C10) Iterative learning control (93B47)

Related Items (2)

An LMI approach to robust iterative learning control with initial state learning ⋮ Novel hybrid iterative learning-fractional predicative PI controller for time-delay systems

Cites Work

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• Dual-stage Optimal Iterative Learning Control for Nonlinear Non-affine Discrete-time Systems
• Parameter optimization in iterative learning control
• On D-type and P-type ILC designs and anticipatory approach
• A study on the robustness of a PID-type iterative learning controller against initial state error
• Adaptive fuzzy ILC of nonlinear discrete-time systems with unknown dead zones and control directions

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