中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
High-order open and closed loop iterative learning control scheme with initial state learning

文献类型:会议论文

作者Xu JX(徐进学); Sun LL(孙丽丽); Chai TY(柴天佑); Tan DL(谈大龙)
出版日期2004
会议名称8th International Conference on Control, Automation, Robotics and Vision (ICARCV 2004)
会议日期December 6-9, 2004
会议地点Kunming, China
页码637-641
通讯作者徐进学
中文摘要In this paper, a high order open and closed ILC (iterative learning control) scheme with initial state learning is presented. The convergent hounds are only dependent on the system uncertainties and disturbances but independent of the initialization errors. The scheme performs better than common ILC scheme with initial state learning both in convergence rate and transient performance. By adding closed loop, the whole algorithm has better performance in both stability and convergence than the open loop one alone. Furthermore, the effectiveness of the proposed method is illustrated by simulation experiments.
收录类别EI ; CPCI(ISTP)
产权排序3
会议主办者Nanyang Technol Univ, Sch Elect & Elect Engn, Republic Singapore, Nanjing Univ Sci & Technol, Peoples Republic China, IEEE Robotics & Automation Soc, IEEE Syst, Man & Cybernet Soc, IEEE Control Syst Soc, IEE, Natl Nat Sci Fdn China, Singapore Tech Engn Ltd, Lee Fdn
会议录2004 8th International Conference on Control, Automation, Robotics and Vision, Vols 1-3
会议录出版者IEEE
会议录出版地NEW YORK
语种英语
ISBN号0-7803-8653-1
WOS记录号WOS:000230484500114
源URL[http://ir.sia.cn/handle/173321/20002]  
专题沈阳自动化研究所_机器人学研究室
推荐引用方式
GB/T 7714
Xu JX,Sun LL,Chai TY,et al. High-order open and closed loop iterative learning control scheme with initial state learning[C]. 见:8th International Conference on Control, Automation, Robotics and Vision (ICARCV 2004). Kunming, China. December 6-9, 2004.

入库方式: OAI收割

来源:沈阳自动化研究所

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