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System identification in the presence of nonlinear sensors

Adachi S. and Okada Y. and Maciejowski J.M.

IFAC Workshop on Adaptive and Learning in Control and Signal Processing, Pages 185 - 190, 2004

Abstract

We consider a system identification problem in which input and output signals are measured using sensors with static nonlinear characteristics, such as saturation, dead zone, and so on. A new system identification method which estimates the sensor errors due to nonlinearity, as well as system parameters, is proposed. The key idea is to formulate the identification problem as a constrained optimization problem. The system parameters are then estimated using a quasi-Newton method. Effectiveness of the proposed method is examined through numerical experiments.

BibTex Entry

@InProceedings{,: author = {Adachi S. and Okada Y. and Maciejowski J.M.},; title = {System identification in the presence of nonlinear sensors},; address = {Yokohama, Japan},; booktitle = {IFAC Workshop on Adaptive and Learning in Control and Signal Processing},; pages = {185 - 190},; year = {2004}
}



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