Tracking analysis of coupled continuous networks based on discontinuous iterative learning control

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• 作者：Wenjun Xiong^a ; ^b ; ^{xwenjun2@gmail.com}Author Vitae ; Wei Xing Zheng^b ; ^{w.zheng@uws.edu.au}Author Vitae ; Jinde Cao^a ; ^c ; ^{jdcao@seu.edu.cn}Author Vitae
• 关键词：Iterative learning control ; Impulsive ILC ; ZOH sampled-data ILC ; Coupled continuous networks
• 刊名：Neurocomputing
• 出版年：2017
• 出版时间：26 January 2017
• 年：2017
• 卷：222
• 期：Complete
• 页码：137-143
• 全文大小：717 K
• 卷排序：222

文摘

The purpose of this paper is to discuss the tracking problem of coupled continuous networks by applying the discontinuous iterative learning control (ILC) method. Two discontinuous ILC schemes with impulsive and zero-order hold (ZOH) sampled-data are introduced because of considering the instantaneous perturbations and the difficulties of measuring the continuous information transmission. Then, some criteria are then proposed to resolve the tracking problem of continuous networks in a finite interval by using the Bellman–Gronwall Lemma. Finally, simulation results are shown to illustrate the effectiveness of the obtained criteria.