DocumentCode :
3050154
Title :
Input conditions for continuous-time adaptive system problems
Author :
Dasgupta, S. ; Anderson, B.D.O. ; Ah-Chung Tsoi
Author_Institution :
Australian National University, Canberra, Australia
fYear :
1983
fDate :
- Dec. 1983
Firstpage :
211
Lastpage :
216
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.
Keywords :
Adaptive control; Adaptive systems; Control systems; Convergence; Noise measurement; Programmable control; Stability; Stress; Systems engineering and theory; Transfer functions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1983. The 22nd IEEE Conference on
Conference_Location :
San Antonio, TX, USA
Type :
conf
DOI :
10.1109/CDC.1983.269830
Filename :
4047536
Link To Document :
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