DocumentCode
1660962
Title
Intelligent control using fixed and adaptive models
Author
Narendra, Kumpati S. ; Balakrishnan, Jeyendran
Author_Institution
Dept. of Electr. Eng., Yale Univ., New Haven, CT, USA
Volume
2
fYear
1994
Firstpage
1680
Abstract
The paper deals with the problem of intelligent control using multiple identification models, switching and tuning. This approach was introduced by the authors (1994) to improve the transient performance of adaptive systems in a stable fashion. The method is extended in this paper to the case where both fixed and adaptive identification models are included. The principal contribution of the paper is the demonstration of the stability of such adaptive switching systems for a general class of switching and tuning schemes. Extensive simulation results reveal that substantial improvement in performance can be obtained with the methods proposed, and this has been experimentally verified by others in robot control problems
Keywords
adaptive control; identification; intelligent control; stability; tuning; adaptive models; fixed models; intelligent control; multiple identification models; robot control; stability; switching; transient performance; tuning; Adaptive control; Adaptive systems; Control design; Intelligent control; Process control; Programmable control; Robot control; Stability; Switching systems; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1994., Proceedings of the 33rd IEEE Conference on
Conference_Location
Lake Buena Vista, FL
Print_ISBN
0-7803-1968-0
Type
conf
DOI
10.1109/CDC.1994.411198
Filename
411198
Link To Document