Title :
Learning control systems--Review and outlook
Author_Institution :
Purdue University, Lafayette, IN, USA
fDate :
4/1/1970 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 :
Bibliographies; Learning control systems; Automatic control; Bayesian methods; Control system synthesis; Control systems; Design optimization; Learning automata; Optimal control; Probability distribution; Process control; Stochastic systems;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.1970.1099405