An Identification Based Optimization of Fractional-order Iterative Learning Control

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 Dα-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.

关键词： Initialized fractional calculus Identification Data driven Iterative learning control Optimization

作者: Yan Li Yang Zhao YangQuan Chen Hyo-Sung Ahn

作者单位: School of Control Science and Engineering, Shandong University, Jinan 250061, Shandong, PR China School of Engineering, University of California, Merced 5200 North Lake Road, Merced, CA 95343, USA Department of Mechatronics, Gwangju Institute of Science and Technology (GIST), 261 Cheomdan-gwagiro

会议类型: 国际会议

会议名称: 第26届中国控制与决策会议(2014 CCDC)

会议地点: 长沙

会议语种:英文

页码: 7-12

在线出版日期: 2014-05-31（万方平台首次上网日期，不代表论文的发表时间）