Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/72485
Title: Analysis of continuos iterative learning control systems using current cycle feedback
Authors: Xu, Jian-Xin 
Wang, Xiao-Wei
Heng, Lee Tong 
Issue Date: 1995
Source: Xu, Jian-Xin,Wang, Xiao-Wei,Heng, Lee Tong (1995). Analysis of continuos iterative learning control systems using current cycle feedback. Proceedings of the American Control Conference 6 : 4221-4225. ScholarBank@NUS Repository.
Abstract: In this paper, a continuous iterative learning control scheme with Current Cycle Feedback (CCF type) is studied. Through the theoretical analysis and comparison, we prove that faster convergence rate of the CCF type learning control can be achieved by selecting a higher feedback gain. In addition, owing to the current cycle error feedback, the control system is robust against any unpredictable small perturbation. In this paper, the multiperiod learning strategy is further developed in conjunction with the current cycle feedback algorithm. The method is extended to the Multi-Input-Multi-Output (MIMO) case. Finally, a number of case studies are carried out which support the aforementioned statements.
Source Title: Proceedings of the American Control Conference
URI: http://scholarbank.nus.edu.sg/handle/10635/72485
ISSN: 07431619
Appears in Collections:Staff Publications

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