A convex optimization design of robust iterative learning control for linear systems with iteration-varying parametric uncertainties

DOI10.1002/asjc.266zbMath1248.93178OpenAlexW2039808384MaRDI QIDQ2895262

David Banjerdpongchai, Dinh Hoa Nguyen

Publication date: 2 July 2012

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

Full work available at URL: https://doi.org/10.1002/asjc.266

zbMATH Keywords

linear systemslinear matrix inequalitiesiterative learning controlquadratic performancedistillation columnmin-max problemiteration-varying parametric uncertainties

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Design techniques (robust design, computer-aided design, etc.) (93B51) Linear systems in control theory (93C05) Linear-quadratic optimal control problems (49N10) Stochastic learning and adaptive control (93E35)

Related Items (9)

Iterative Learning Control for Linear Discrete‐Time Systems with Unknown High‐Order Internal Models: A Time‐Frequency Analysis Approach ⋮ A guaranteed monotonically convergent iterative learning control ⋮ Method to filter the updated input of P-type ILC controllers with communication delays and noises ⋮ Optimal input filtering for networked iterative learning control systems with packet dropouts and channel noises in both sides ⋮ Method for filtering the input transmitted by proportional ILC controllers over wireless delay channels ⋮ A comparison of compensation methods for random input data dropouts in networked iterative learning control system ⋮ Convergence Analysis of Wireless Remote Iterative Learning Control Systems with Channel Noise ⋮ Robust design of feedback feed-forward iterative learning control based on 2D system theory for linear uncertain systems ⋮ An optimal filter for updated input of iterative learning controllers with multiplicative and additive noises

Uses Software

• CVX

Cites Work

• Stability analysis of discrete-time iterative learning control systems with interval uncertainty
• Model-based iterative learning control with a quadratic criterion for time-varying linear systems
• Iterative learning control. Robustness and monotonic convergence for interval systems.
• Iterative learning control for discrete-time systems with exponential rate of convergence
• Linear quadratic optimal learning control (LQL)

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