Optimal iterative learning controls for the partial non-regular systems using lifting technique

被引：0

作者：

Yang, Shengyue ^{[1
]}

Fan, Xiaoping ^{[1
]}

机构：

[1] Cent S Univ, Sch Informat Sci & Engn, Changsha 410075, Peoples R China

来源：

PROCEEDINGS OF THE 2007 IEEE CONFERENCE ON CONTROL APPLICATIONS, VOLS 1-3 | 2007年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Deficiencies of the optimal iterative learning control (ILL) for the non-regular systems are investigated in detail, then a faster control input updating and lifting technique is introduced in the design of optimal ILC for the partial nonregular systems. Besides, a novel optimal ILC based on new defined performance index in iteration domain is presented for the lifted systems. At last, simulation results are given to illustrated feasibility of proposed learning controls.

引用

页码：968 / 972

页数：5

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