Dynamic Output-Only Iterative Learning Control Design

被引：2

作者：

Hladowski, Lukasz ^{[1
]}

Galkowski, Krzysztof ^{[2
]}

Rogers, Eric ^{[3
]}

机构：

[1] Univ Zielona Gora, Inst Control & Computat Engn, PL-65246 Zielona Gora, Poland

[2] Univ Zielona Gora, Inst Automat Elect & Elect Engn, PL-65246 Zielona Gora, Poland

[3] Univ Southampton, Dept Elect & Comp Sci, Southampton SO17 1BJ, Hants, England

来源：

IEEE ACCESS | 2021年 / 9卷

关键词：

Process control; Convergence; Stability analysis; Dynamics; Task analysis; Symmetric matrices; State-space methods; Iterative learning control; repetitive processes; output control; SYSTEMS;

D O I：

10.1109/ACCESS.2021.3123868

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Iterative learning control applies to systems that repeatedly execute the same finite duration task. The distinguishing feature of this form of control action is that all data generated on a previous execution of the task is available to compute the control action for the subsequent execution. This paper uses the repetitive process stability analysis and optimization techniques to design a dynamic controller that, in contrast to previous designs in the repetitive process/2D systems setting, does not require measurement of the state dynamics or observer-based estimation. Examples to demonstrate the application of the new design are given.

引用

页码：147072 / 147081

页数：10

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