Title :
Adaptive Regulator for Hammerstein and Wiener Systems With Noisy Observations
Author_Institution :
Inst. of Syst. Sci., Acad. Sinica, Beijing
fDate :
4/1/2007 12:00:00 AM
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;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2007.894536
