UNIVERSAL ITERATIVE LEARNING CONTROL USING ADAPTIVE HIGH-GAIN FEEDBACK

被引：20

作者：

OWENS, DH ^{[1
]}

机构：

[1] UNIV EXETER,CTR SYST & CONTROL ENGN,EXETER EX4 4QF,ENGLAND

来源：

INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING | 1993年 / 7卷 / 05期

关键词：

LEARNING CONTROL; ITERATIVE LEARNING CONTROL; HIGH-GAIN ADAPTIVE STABILIZATION;

D O I：

10.1002/acs.4480070507

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Convergence theorems for adaptive (universal) iterative learning control systems provide a well-defined convergence criterion parametrized by a single adaptive gain parameter. The convergence is in the weak topology of L2m(0, T) with T finite and applies to both finite-dimensional systems and a class of infinite-dimensional systems.

引用

页码：383 / 388

页数：6

共 7 条

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[2] EDWARDS JB, 1982, ANAL CONTROL MULTIPA
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ILCHMANN, A
[J]. IMA JOURNAL OF MATHEMATICAL CONTROL AND INFORMATION, 1991, 8 (04) : 321 - 366
[4] Logemann H., 1988, International Journal of Adaptive Control and Signal Processing, V2, P193, DOI 10.1002/acs.4480020304
[5] POSITIVE-REAL STRUCTURE AND HIGH-GAIN ADAPTIVE STABILIZATION
OWENS, DH
PRATZELWOLTERS, D
ILCHMANN, A
[J]. IMA JOURNAL OF MATHEMATICAL CONTROL AND INFORMATION, 1987, 4 (02) : 167 - 181
[6] PADIEU, 1990, INT J ADAPTIVE CONTR, V4, P465
[7] Rogers E., 1992, LECT NOTES CONTROL I, V175

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