Input conditions for continuous-time adaptive system problems

S Dasgupta; Brian D O. Anderson; Ah-chung Tsoi

doi:10.1109/CDC.1983.269830

Back

Conference proceeding

Input conditions for continuous-time adaptive system problems

S Dasgupta, Brian D O. Anderson and Ah-chung Tsoi

The 22nd IEEE Conference on Decision and Control, Vol.1, pp.211-216

12/1983

DOI: 10.1109/CDC.1983.269830

View Online

Abstract

The exponential convergence of certain algorithms used in continuous-time adaptive identification and control is investigated by deriving persistence of excitation conditions which depend on the system inputs exclusively. Stable plants and unstable plants with external stabilizing control are considered in the identification study. For the control algorithm considered, it is shown that in the absence of foreknowledge of a gain parameter, exponential stability is impossible to claim.

Control Systems

Stress

Adaptive control

Adaptive systems

Convergence

Noise measurement

Programmable control

Stability

Systems engineering and theory

Transfer functions

Details

Title: Subtitle: Input conditions for continuous-time adaptive system problems
Creators: S Dasgupta - Australian National University
Brian D O. Anderson - Australian National University
Ah-chung Tsoi - University of Auckland
Resource Type: Conference proceeding
Publication Details: The 22nd IEEE Conference on Decision and Control, Vol.1, pp.211-216
Publisher: IEEE
DOI: 10.1109/CDC.1983.269830
ISSN: 0191-2216
Language: English
Date published: 12/1983
Academic Unit: Electrical and Computer Engineering
Record Identifier: 9984197289002771

Metrics

1 Record Views