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
收藏
页码：383 / 388
页数：6
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