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Adaptive Regulator for Hammerstein and Wiener Systems With Noisy Observations

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1 Author(s)
Han-Fu Chen ; Inst. of Syst. Sci., Acad. Sinica, Beijing

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

Published in:

IEEE Transactions on Automatic Control  (Volume:52 ,  Issue: 4 )