PDα-type iterative learning control for fractional-order linear continuous-time switched systems

被引：8
|
作者：
Zhang, Kejun [1 ,2 ]
Peng, Guohua [1 ]
机构：
[1] Northwestern Polytech Univ, Sch Nat & Appl Sci, Xian 710129, Peoples R China
[2] Xuzhou Inst Technol, Sch Math & Phys Sci, Xuzhou, Jiangsu, Peoples R China
来源：
ASIAN JOURNAL OF CONTROL | 2020年 / 22卷 / 05期
基金：
中国国家自然科学基金;
关键词：
convergence; fractional-order; iterative learning control; switched systems; STABILITY; DESIGN;
D O I：
10.1002/asjc.2074
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
For a class of fractional-order linear continuous-time switched systems specified by an arbitrary switching rule, this paper proposes a PD alpha-type fractional-order iterative learning control algorithm. For systems disturbed by bounded measurement noise, the robustness of PD alpha-type algorithm is first discussed in the iteration domain and the tracking performance is analyzed. Next, a sufficient condition for monotone convergence of the algorithm is studied when external noise is absent. The results of analysis and simulation illustrate the feasibility and effectiveness of the proposed control algorithm.
引用
收藏
页码：1951 / 1960
页数：10
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