Iterative Learning Control for a class of spatially interconnected systems

被引：0
|
作者：
Cichy, Blazej [1 ]
Augusta, Petr [2 ]
Galkowski, Krzysztof [1 ]
Rogers, Eric [3 ]
机构：
[1] Univ Zielona Gora, Inst Control & Computat Engn, Ul Szafrana 2, PL-65516 Zielona Gora, Poland
[2] Czech Acad Sci, Inst Informat Theory & Automat, Vodarenskou Vezi 4, CZ-18208 Prague, Czech Republic
[3] Univ Southampton, Dept Elect & Comp Sci, Southampton SO17 1BJ, Hants, England
来源：
TRENDS IN ADVANCED INTELLIGENT CONTROL, OPTIMIZATION AND AUTOMATION | 2017年 / 577卷
关键词：
Crank-Nicolson Discretization Method; Iterative Learning Control; Rectangular Plate;
D O I：
10.1007/978-3-319-60699-6_71
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
An unconditionally stable finite difference discretization motivated by the well-known Crank-Nicolson method is used to develop an Iterative Learning Control (ILC) design for systems whose dynamics are described by a fourth-order partial differential equation. In particular, a discrete in time and space model of a deformable rectangular mirror, as an exemplar application, is derived and used in the ILC design. Finally, the feasibility of the new ILC design is confirmed by numerical simulations.
引用
收藏
页码：734 / 743
页数：10
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