Design of Decentralized Iterative Learning Controllers for Linear Large Scale Dynamical Systems

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概要

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• The problem of decentralized iterative learning control is considered for a class of linear time-invariant large scale interconnected dynamical systems. In the paper, it is shown that the method of iterative learning control can be applied to such large scale interconnected dynamical systems, and a class of decentralized local iterative learning control schemes is proposed. It is aslo shown that under given conditions, the proposed decentralized local iterative learning controllers can guarantee the asymptotic convergence of the local output error between the given desired local output and the actual local output of each subsystem through the iterative learning process. Finally, a numerical example is given to demonstrate the validity of the results.

• 社団法人 電気学会の論文
• 2004-03-01

著者

• Wu Hansheng

  Department Of Information Science Hiroshima Prefectural University

関連論文

• Adaptive Robust Control for Uncertain Nonlinear Systems
• Adaptive Robust Asymptotic State Observers for Uncertain Nonlinear Dynamical Systems
• Design of Memoryless Controllers for Robust Tracking and Model Following of Uncertain Systems with Multiple Time Delays
• Design of Iterative Learning Controllers for Linear Discrete Systems with Multiple Time Delays
• Adaptive Output Feedback Control Schemes for Robust Tracking and Model Following of Uncertain Systems with Multiple Time Delays
• Design of Decentralized Iterative Learning Controllers for Linear Large Scale Dynamical Systems
• Memoryless Linear Adaptive Robust Controllers of Uncertain Systems with Nonlinear Time-Varying Delayed State Perturbations

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