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Output tracking for nonlinear stochastic systems by iterative learning control

文献类型：期刊论文

作者Chen, HF; Fang, HT
刊名IEEE TRANSACTIONS ON AUTOMATIC CONTROL
出版日期2004-04-01
卷号49期号:4页码:583-588
关键词almost sure (a.s.) convergence iterative learning control nonlinear stochastic system output tracking stochastic approximation
ISSN号0018-9286
DOI10.1109/TAC.2004.825613
英文摘要An iterative learning control (ILC) algorithm, which in essence is a stochastic approximation algorithm, is proposed for output tracking for nonlinear stochastic systems with unknown dynamics and unknown noise statistics. The nonlinear function of the system dynamics is allowed to grow up as fast as a polynomial of any degree, but the system is linear with respect to control. It is proved that the ILC generated by the algorithm a.s. converges to the optimal one at each time t is an element of [0, 1, ..., N] and the output tracking error is asymptotically minimized in the mean square sense as the number of iterates tends to infinity, although the convergence rate is rather slow. The only information used in the algorithm is the noisy observation of the system output and the reference signal y(d)(t). When the system state equation is free of noise and the system output is realizable, then the exact state tracking is asymptotically achieved and the tracking error is purely due to the observation noise.
WOS研究方向Automation & Control Systems ; Engineering
语种英语
WOS记录号WOS:000220884800012
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/19478]  
专题系统科学研究所
通讯作者Chen, HF
作者单位Chinese Acad Sci, Inst Syst Sci, Acad Math & Syst Sci, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714		 Chen, HF,Fang, HT. Output tracking for nonlinear stochastic systems by iterative learning control[J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL,2004,49(4):583-588.
APA Chen, HF,&Fang, HT.(2004).Output tracking for nonlinear stochastic systems by iterative learning control.IEEE TRANSACTIONS ON AUTOMATIC CONTROL,49(4),583-588.
MLA Chen, HF,et al."Output tracking for nonlinear stochastic systems by iterative learning control".IEEE TRANSACTIONS ON AUTOMATIC CONTROL 49.4(2004):583-588.

入库方式： OAI收割

来源：数学与系统科学研究院

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