DocumentCode
775995
Title
Adaptive Regulator for Hammerstein and Wiener Systems With Noisy Observations
Author
Chen, Han-Fu
Author_Institution
Inst. of Syst. Sci., Acad. Sinica, Beijing
Volume
52
Issue
4
fYear
2007
fDate
4/1/2007 12:00:00 AM
Firstpage
703
Lastpage
709
Abstract
For Hammerstein and Wiener systems observed with additive noises the adaptive regulation control is produced by a truncated stochastic approximation (SA) algorithm with truncation regions expanding with a prescribed rate. It is proved that the stochastic adaptive control given in this note is optimal in the sense that it minimizes the long run average of regulation errors a.s
Keywords
adaptive control; approximation theory; regulation; stochastic systems; Hammerstein system; Wiener systems; adaptive regulation control; additive noises; noisy observations; stochastic adaptive control; truncated stochastic approximation; Adaptive control; Additive noise; Control systems; Error correction; Optimal control; Polynomials; Programmable control; Regulators; Stochastic resonance; Stochastic systems; Adaptive regulation; Hammerstein system; Wiener system; expanding truncations; stochastic approximation;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/TAC.2007.894536
Filename
4154963
Link To Document