Title :
A State Learning Controller
Author :
Zhang, B.S. ; Edmunds, J.M.
Author_Institution :
Control Systems Centre, UMIST, Manchester, M60 1QD, U.K
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;
Conference_Titel :
American Control Conference, 1992
Conference_Location :
Chicago, IL, USA
Print_ISBN :
0-7803-0210-9
