CONVERGENCE AND LOGARITHM LAWS OF SELF-TUNING REGULATORS

被引：103

作者：

GUO, L

机构：

[1] Institute of Systems Science, Chinese Academy of Sciences, Beijing

来源：

AUTOMATICA | 1995年 / 31卷 / 03期

基金：

中国国家自然科学基金;

关键词：

STOCHASTIC SYSTEMS; LEAST-SQUARES; SELF-TUNING REGULATOR; CONVERGENCE ANALYSIS;

D O I：

10.1016/0005-1098(94)00127-5

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper starts with a survey of some recent results on least-squares (LS) and LS-based self-tuning regulators (STR). Several long-standing problems concerning the basic properties of LS-based STR, such as stability, optimality, consistency and the best convergence rate, are solved within a unified framework. Some previously related results are also subsumed and extended. Various new techniques for analysing LS-based adaptive tracking systems are presented, which may also be useful for analysing other adaptive control problems.

引用

页码：435 / 450

页数：16

共 35 条

[1]

[Anonymous], 1984, ADAPTIVE FILTERING P

[2]

Astrom K.J., 1995, ADAPTIVE CONTROL

[3] THEORY AND APPLICATIONS OF ADAPTIVE-CONTROL - A SURVEY [J].