The problem of pole-zero cancellation in transfer function identification and application to adaptive stabilization

被引：24

作者：

Campi, MC

机构：

[1] Dipto. Elettron. l'Automazione, Universita di Brescia, 25123 Brescia, via Branze

来源：

AUTOMATICA | 1996年 / 32卷 / 06期

关键词：

adaptive control; RLS identification; stochastic systems; controllability; pole-zero cancellation; adaptive stabilization;

D O I：

10.1016/0005-1098(96)00010-6

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The asymptotic controllability of the identified system is a central problem in adaptive control. if controllability is ascertained, the analysis of even complex adaptive controllers based on multistep performance indices is drastically simplified. In this paper, we study the controllability issue in connection with the recursive least-squares (RLS) algorithm. We show that standard RLS does not generally provide models that are controllable. However, a variant of this method that preserves all the basic properties of the standard RLS and also guarantees asymptotic controllability is introduced. The algorithm can be safely used in any adaptive control system, provided that the control law is able to stabilize known invariant plants. Copyright (C) 1996 Elsevier Science Ltd.

引用

页码：849 / 857

页数：9

共 24 条

[11] ON KALMAN FILTERING FOR CONDITIONALLY GAUSSIAN SYSTEMS WITH RANDOM MATRICES [J].