Two updating schemes of iterative learning control for networked control systems with random data dropouts

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• 作者：Dong Shen ; ^{shendong@mail.buct.edu.cn} ; Chao Zhang ; Yun Xu
• 关键词：Iterative learning control ; Data dropout ; Intermittent updating scheme ; Successive updating scheme ; Networked control system
• 刊名：Information Sciences
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：381
• 期：Complete
• 页码：352-370
• 全文大小：1785 K
• 卷排序：381

文摘

The iterative learning control (ILC) problem is addressed in this paper for stochastic linear systems with random data dropout modeled by a Bernoulli random variable. Both intermittent updating scheme and successive updating scheme are provided on the basis of the available tracking information only and shown to be convergent to the desired input almost certainly. In the intermittent updating scheme, the algorithm only updates its control signal when data is successfully transmitted. In the successive updating scheme, the algorithm continuously updates its control signal with the latest available data in each iteration whether the output information of the last iteration is successfully transmitted or lost. Illustrative simulations verify the convergence and effectiveness of the proposed algorithms.