Iterative learning controllers with time-varying gains for large-scale industrial processes to track trajectories with different magnitudes

DOI10.1080/00207720701847125zbMath1167.93308OpenAlexW2002384253MaRDI QIDQ3497809

Xiaoe Ruan, Zeungnam Bien

Publication date: 27 July 2009

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

Full work available at URL: https://doi.org/10.1080/00207720701847125

zbMATH Keywords

transient performanceLebesgue normiterative learning controllernon-repetitiontime-varying learning gains

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Large-scale systems (93A15)

Related Items (4)

Initial shift problem for robust iterative learning control systems with polytopic-type uncertainty ⋮ Analysis of iterative learning control with high-order internal models for fractional differential equations ⋮ Decentralised adaptive robust control of uncertain large-scale interconnected systems with multiple time-varying delays ⋮ On iterative learning control for MIMO nonlinear systems in the presence of time-iteration-varying parameters

Cites Work

• Analysis of a high-order iterative learning control algorithm for uncertain nonlinear systems with state delays
• A note on convergence property of iterative learning controller with respect to sup norm
• Direct learning of control efforts for trajectories with different magnitude scales
• Decentralized iterative learning control methods for large scale linear dynamic systems
• An iterative learning control method for continuous-time systems based on 2-D system theory
• Iterative learning controllers for discrete-time large-scale systems to track trajectories with distinct magnitudes
• New results on the synthesis of PID controllers

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