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
Link To Document :
