Nonlinear predictive control based on NARX models with structure identification

Author

Mrabet, M. ; Fnaiech, F. ; Chaari, A. ; Al-Haddad, K.

Author_Institution

UREPCI -Ecole Suerieure des Sci. et Techniques de Tunis, Tunisia

Volume

3

fYear

2002

fDate

5-8 Nov. 2002

Firstpage

1757

Abstract

A new nonlinear model predictive control (NMPC) based on NARX modeling with structure detection algorithm is presented in this paper. The scheme employs a nonlinear structure identification procedure known as Kortman-Unbehauen algorithm. A suitable NARX model is then stated which enables computation of the prediction used to design the nonlinear model predictive control law. Performance and robustness properties of the new scheme are illustrated by several simulation results.

Keywords

control system analysis; identification; nonlinear control systems; predictive control; robust control; Kortman-Unbehauen algorithm; NARX models; nonlinear model predictive control; nonlinear structure identification procedure; robustness properties; structure detection algorithm; structure identification; Control system synthesis; Detection algorithms; Genetic algorithms; Mathematical model; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; Polynomials; Predictive control; Predictive models;

fLanguage

English

Publisher

ieee

Conference_Titel

IECON 02 [Industrial Electronics Society, IEEE 2002 28th Annual Conference of the]

Print_ISBN

0-7803-7474-6

Type

conf

DOI

10.1109/IECON.2002.1185236

Filename

1185236