Design of a recursive parametric estimation algorithm for nonlinear system described by a Hammerstein mathematical model

Author

Salhi, Hassen ; Kamoun, Samira

Author_Institution

Lab. of Sci. & Tachnique of Autom. Control & Comput. Eng. (Lab.-SAT), Univ. of Sfax, Sfax, Tunisia

fYear

2013

fDate

21-23 March 2013

Firstpage

1

Lastpage

7

Abstract

In this communication, a recursive parametric estimation algorithm is developed for the parametric estimation of nonlinear systems which can be described by a Hammerstein mathematical model. The formulation of this parametric estimation problem is made by using the method of the adjustable model and the least squares techniques. The stability analysis of the parametric estimation algorithm is made by using the Lyaponov theory. The performance of the developed recursive parametric estimation algorithm is illustrated using data from an experimental acid-base neutralization process.

Keywords

Lyapunov methods; least mean squares methods; nonlinear control systems; parameter estimation; stability; Hammerstein mathematical model; Lyaponov theory; acid-base neutralization process; adjustable model; least squares technique; nonlinear system; recursive parametric estimation algorithm; stability analysis; Algorithm design and analysis; Equations; Estimation; Mathematical model; Nonlinear systems; Stability analysis; Vectors; Hammerstein mathematical model; Nonlinear systems; Recursive parametric estimation algorithm; Stability analysis; acid-base;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Engineering and Software Applications (ICEESA), 2013 International Conference on

Conference_Location

Hammamet

Print_ISBN

978-1-4673-6302-0

Type

conf

DOI

10.1109/ICEESA.2013.6578467

Filename

6578467