Self-Tuning Control of a Nonlinear Stochastic Systems Described by a Hammerstein Mathematical Model
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10.5120/4839-7101 |
Houda Salhi and Samira Kamoun. Article: Self-Tuning Control of a Nonlinear Stochastic Systems Described by a Hammerstein Mathematical Model. International Journal of Computer Applications 39(8):15-22, February 2012. Full text available. BibTeX
@article{key:article,
author = {Houda Salhi and Samira Kamoun},
title = {Article: Self-Tuning Control of a Nonlinear Stochastic Systems Described by a Hammerstein Mathematical Model},
journal = {International Journal of Computer Applications},
year = {2012},
volume = {39},
number = {8},
pages = {15-22},
month = {February},
note = {Full text available}
}
Abstract
In this paper, we developed the parametric estimation and the self-tuning control problem of the nonlinear systems which are described by discrete-time nonlinear mathematical models, with unknown, time-varying parameters, and operative in a stochastic environment. The parametric estimation is realized by using the prediction error method and the recursive least squares techniques. The self-tuning control problem is formulated by minimizing a certain quadratic criterion. An example of numerical simulation is treated in this paper, to test the proposed self-tuning control method.
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