标题:A Generalized Fractional-Order Iterative Learning Control
作者:Li, Yan; Chen, YangQuan; Ahn, Hyo-Sung
通讯作者:Li, Y
作者机构:[Li, Yan] Shandong Univ, Sch Control Sci & Engn, Jinan 250061, Shandong, Peoples R China.; [Chen, YangQuan] Utah State Univ, Dept Elect & Comp Engn, 更多
会议名称:50th IEEE Conference of Decision and Control (CDC)/European Control Conference (ECC)
会议日期:DEC 12-15, 2011
来源:2011 50TH IEEE CONFERENCE ON DECISION AND CONTROL AND EUROPEAN CONTROL CONFERENCE (CDC-ECC)
出版年:2011
页码:5356-5361
关键词:Iterative learning control; Fractional calculus; Nonlinear systems;; Convergence; Adaptiveness
摘要:In this paper, we discuss in time domain the convergence of the iterative process for fractional-order non-linear systems. A linear adaptive generalized fractional-order iterative learning control scheme is derived, which guarantees the convergence of the algorithm without the knowledge of the system order. The implementation of generalized fractional-order iterative learning controllers can be achieved by using the idea of fractional-order element networks. Most of the classical fractional-order iterative learning control methods fall into the scheme of this paper. A number of numerical simulations are illustrated to validate the concepts.
收录类别:CPCI-S
WOS核心被引频次:12
资源类型:会议论文
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