DocumentCode
489962
Title
A State Learning Controller
Author
Zhang, B.S. ; Edmunds, J.M.
Author_Institution
Control Systems Centre, UMIST, Manchester, M60 1QD, U.K
fYear
1992
fDate
24-26 June 1992
Firstpage
3057
Lastpage
3061
Abstract
A learning control method is proposed in this paper. The feature of this control method is that the controller is constructed without an explicit structure and the output of the controller is generated by learning. The gained experiences are memorized as a set of control rules. The convergence of the learning algorithm and the stability conditions have been given. The algorithm has been illustrated by applying it to a simulation study of an inverted pendulum balancing problem.
Keywords
Adaptive control; Algorithm design and analysis; Artificial intelligence; Control systems; Convergence; Feedback control; Fuzzy control; Learning systems; Stability; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 1992
Conference_Location
Chicago, IL, USA
Print_ISBN
0-7803-0210-9
Type
conf
Filename
4792709
Link To Document