DocumentCode
3020686
Title
Convergence problems in a class of model reference adaptive control systems
Author
L. Thathachar, M. ; Gajendran, F.
Author_Institution
Indian Institute of Science, Bangalore, India
fYear
1977
fDate
7-9 Dec. 1977
Firstpage
1036
Lastpage
1041
Abstract
A class of model reference adaptive control system which make use of an augmented error signal has been introduced by Monopoli. Convergence problems in this attractive class of systems have been investigated in this paper using concepts from hyperstability theory. It is shown that the condition on the linear part of the system has to be stronger than the one given earlier. A boundedness condition on the input to the linear part of the system has been taken into account in the analysis - this condition appears to have been missed in the previous applications of hyperstability theory. Sufficient conditions for the convergence of the adaptive gain to the desired value are also given.
Keywords
Adaptive control; Convergence;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control including the 16th Symposium on Adaptive Processes and A Special Symposium on Fuzzy Set Theory and Applications, 1977 IEEE Conference on
Conference_Location
New Orleans, LA, USA
Type
conf
DOI
10.1109/CDC.1977.271723
Filename
4045993
Link To Document