DocumentCode
796496
Title
Learning bang-bang regulators
Author
Butz, Arthur R.
Author_Institution
Northwestern University, Evanston, IL, USA
Volume
13
Issue
1
fYear
1968
fDate
2/1/1968 12:00:00 AM
Firstpage
96
Lastpage
99
Abstract
A continuous-time algorithm for learning a stable bang-bang regulator is developed. It is assumed that a Liapunov function 
is known such that 
is negative definite for some bang-bang control The plant may be unstable since a simple condition (that a constant be large enough) on the learning algorithm guarantees stability of the closed-loop system during the learning phase. Derivative computation is required, but a significant time delay and an error are permissible in such computation.
is known such that is negative definite for some bang-bang control The plant may be unstable since a simple condition (that a constant be large enough) on the learning algorithm guarantees stability of the closed-loop system during the learning phase. Derivative computation is required, but a significant time delay and an error are permissible in such computation.Keywords
Bang-bang control; Learning control systems; Regulators; Application software; Control systems; Counting circuits; Data systems; Digital control; Discrete wavelet transforms; Error correction; Power engineering and energy; Regulators; Stability;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/TAC.1968.1098805
Filename
1098805
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