DocumentCode :
1124051
Title :
Learning Control Systems-Review and Outlook
Author :
Fu, King-Sun
Author_Institution :
Purdue University, Lafayette, Ind. 47907.
Issue :
3
fYear :
1986
fDate :
5/1/1986 12:00:00 AM
Firstpage :
327
Lastpage :
342
Abstract :
The basic concept of learning control is introduced. The following five learning schemes are briefly reviewed: 1) trainable controllers using pattern classifiers, 2) reinforcement learning control systems, 3) Bayesian estimation, 4) stochastic approximation, and 5) stochastic automata models. Potential applications and problems for further research in learning control are outlined.
Keywords :
Automatic control; Bayesian methods; Control system synthesis; Control systems; Design optimization; Learning automata; Optimal control; Probability distribution; Process control; Stochastic systems;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/TPAMI.1986.4767795
Filename :
4767795
Link To Document :
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