Convergence Analysis of Wireless Remote Iterative Learning Control Systems with Channel Noise

DOI10.1002/ASJC.1107zbMath1338.93219OpenAlexW1958613537MaRDI QIDQ2814036

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Publication date: 17 June 2016

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

Full work available at URL: https://doi.org/10.1002/asjc.1107

zbMATH Keywords

convergenceiterative learning control (ILC)channel noisewireless remote control

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Discrete-time control/observation systems (93C55) Linear systems in control theory (93C05)

Related Items (8)

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 ⋮ Optimal input filters for iterative learning control systems with additive noises, random delays, and data dropouts in both channels ⋮ 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 ⋮ Method to improve convergence performance of iterative learning control systems with bounded noise ⋮ Enhanced Kalman-filtering iterative learning control with application to a wafer scanner ⋮ An optimal filter for updated input of iterative learning controllers with multiplicative and additive noises

Cites Work

• Stability analysis of discrete-time iterative learning control systems with interval uncertainty
• Iterative learning control for remote control systems with communication delay and data dropout
• A convex optimization design of robust iterative learning control for linear systems with iteration-varying parametric uncertainties
• A statistical analysis of certain iterative learning control algorithms
• A discrete-time stochastic learning control algorithm
• A generalized iterative learning controller against initial state error
• Effects of network communications on a class of learning controlled non-linear systems†
• Robust iterative learning control design is straightforward for uncertain LTI systems satisfying the robust performance condition
• Initial shift issues on discrete-time iterative learning control with system relative degree
• Optimal selection of the forgetting matrix into an iterative learning control algorithm

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