DocumentCode :
798836
Title :
On the choice of subgoals for learning control systems
Author :
Jones, Lloyd E., III
Author_Institution :
University of Florida, Port Canaveral, FL, USA
Volume :
13
Issue :
6
fYear :
1968
fDate :
12/1/1968 12:00:00 AM
Firstpage :
613
Lastpage :
621
Abstract :
A subgoal problem is defined as the problem of choosing a subgoal or on-line performance evaluator compatible with reinforcement-type learning control systems. The subgoal must evaluate each control decision separately and direct the learning process toward the optimum with respect to the primary goal or performance index. Analytical results are presented for an unconstrained control, including an M-decision evaluator. This general subgoal fails to satisfy the conditions of per-decision evaluation except when M is 1, but might prove useful with different learning algorithms. A method is presented for "doing the best with what you have." That is, a priori information might be used either to design a fixed controller or to choose the subgoal for a learning controller. Analytical and experimental results demonstrate that as a general rule the learning controller makes the best use of the a priori knowledge.
Keywords :
Learning control systems; Linear systems; Automatic control; Computerized monitoring; Condition monitoring; Control systems; Engineering education; Force control; Learning automata; Optimal control; Performance analysis; Psychology;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/TAC.1968.1099032
Filename :
1099032
Link To Document :
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