标题:An Identification Based Optimization of Fractional-order Iterative Learning Control
作者:Li, Yan; Zhao, Yang; Chen, YangQuan; Ahn, Hyo-Sung
通讯作者:Li, Y
作者机构:[Li, Yan; Zhao, Yang] Shandong Univ, Sch Control Sci & Engn, Jinan 250061, Shandong, Peoples R China.; [Chen, YangQuan] Univ Calif Merced, Sch Engn, 更多
会议名称:26th Chinese Control and Decision Conference (CCDC)
会议日期:MAY 31-JUN 02, 2014
来源:26TH CHINESE CONTROL AND DECISION CONFERENCE (2014 CCDC)
出版年:2014
页码:7-12
关键词:Initialized fractional calculus; Identification; Data driven; Iterative; learning control; Optimization
摘要:In this paper, a practical identification strategy is applied to the optimal design of fractional-order iterative learning control (FOILC). The initialized fractional-order gray-box system with commensurate order or non-commensurate order is identified by using the fractional-order iterative learning identification and the least square or instrumental variable method. The optimal D-alpha-type FOILC is derived from the estimated system and by the assumption that the fractional-order system is repeatable. Many other discussions on FOILC can be included as special cases of this paper. A number of illustrated examples are shown to validate the concepts.
收录类别:CPCI-S
WOS核心被引频次:2
资源类型:会议论文
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