Title :
Learning Control Systems-Review and Outlook
Author_Institution :
Purdue University, Lafayette, Ind. 47907.
fDate :
5/1/1986 12:00:00 AM
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;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.1986.4767795