Universiti Teknologi Malaysia Institutional Repository

Multivariable system identification for dynamic discrete-time nonlinear system using genetic algorithm

Ahmad, R. and Jamaluddin, H. and Hussain, M. A. (2002) Multivariable system identification for dynamic discrete-time nonlinear system using genetic algorithm. In: UNSPECIFIED.

Full text not available from this repository.

Abstract

The development of a multivariable system identification model for dynamic discrete-time nonlinear system using genetic algorithm was discussed and analysed. The identification of model structure for a jacketed continuous stirred tank reactor or CSTR was taken as case study. The analysis showed that the proposed genetic algorithm provides an efficient way of determining the model structure of unknown nonlinear systems.

Item Type:Conference or Workshop Item (UNSPECIFIED)
Uncontrolled Keywords:Genetic algorithm; Model structure selection; Multivariable system; System identification
Subjects:T Technology > TJ Mechanical engineering and machinery
Divisions:Mechanical Engineering
ID Code:7091
Deposited By: Mohamad Ali Duki
Deposited On:30 Dec 2008 13:51
Last Modified:30 Dec 2008 13:51

Repository Staff Only: item control page