Adaptive systems and time varying plants

Date

Authors

Anderson, Brian D.
Johnstone, Richard I.

Journal Title

Journal ISSN

Volume Title

Publisher

Access Statement

Research Projects

Organizational Units

Journal Issue

Abstract

The behaviour of four adaptive algorithms—LMS, equation error, output error identification and the Goodwin-Kamadge-Caines adaptive control algorithm—are examined in the face of plant parameter variations. The key point to note is that persistency of excitation conditions in the time invariant parameter case guarantees exponential convergence. Then standard and newly developed Lyapunov stability results allow us to guarantee tracking error and parameter error boundedness when the plant parameters are actually time varying.

Description

Keywords

Citation

Source

International Journal of Control

Book Title

Entity type

Publication

Access Statement

License Rights

Restricted until