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Reseach Article
Self-Tuning Control of a Nonlinear Stochastic Systems Described by a Hammerstein Mathematical Model
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 39 - Number 8 |
| Year of Publication: 2012 |
| Authors: Houda Salhi, Samira Kamoun |
10.5120/4839-7101
|
Houda Salhi, Samira Kamoun . Self-Tuning Control of a Nonlinear Stochastic Systems Described by a Hammerstein Mathematical Model. International Journal of Computer Applications. 39, 8 ( February 2012), 15-22. DOI=10.5120/4839-7101
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.
References
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