DocumentCode :
838593
Title :
Indirect stochastic adaptive control: The general delay-colored noise case
Author :
Fuchs, Jean-Jacques J.
Author_Institution :
Institut de Recherche en Informatique et Systèmes Aléatoires, Rennes, France
Volume :
27
Issue :
2
fYear :
1982
fDate :
4/1/1982 12:00:00 AM
Firstpage :
470
Lastpage :
472
Abstract :
Global convergence of stochastic adaptive control algorithms has been established recently for the general delay-colored noise case. An unfortunate feature of the proposed scheme is the use of k (the number of delays) interlaced recursions. Using an indirect adaptive control approach we establish that identical convergence properties can be achieved by a single adaptation algorithm. The proposed results apply straightforwardly to the adaptive predictor problems and should be of interest in other indirect control schemes.
Keywords :
Adaptive control, linear systems; Linear systems, stochastic; Predictive control, linear systems; Stochastic systems, linear; Adaptive control; Artificial intelligence; Convergence; Cost function; Delay effects; Feedback; Optimal control; Stochastic processes; Stochastic resonance; White noise;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/TAC.1982.1102934
Filename :
1102934
Link To Document :
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