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Simultaneous Computation of Model Order and Parameter Estimation for System Identification Based on Gravitational Search Algorithm

Kamil Zakwan, Mohd Azmi and Pebrianti, Dwi and Zuwairie, Ibrahim and Shahdan, Sudin and Sophan Wahyudi, Nawawi (2015) Simultaneous Computation of Model Order and Parameter Estimation for System Identification Based on Gravitational Search Algorithm. In: 6th International Conference on Intelligent Systems, Modelling and Simulation, 9-12 February 2015 , Kuala Lumpur, Malaysia. pp. 135-140..

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Abstract

System identification is a technique used to obtain a mathematical model of a system by performing analysis of input-output characteristic of the system. Most significant steps of system identification process are generally summarized into four main stages. The initial stage is collection of experimental data. After that, the model order and structure are selected. The next stage is to approximate the parameters of the model and finally, the mathematical model is validated. In this paper, a technique termed as Simultaneous Model Order and Parameter Estimation (SMOPE), which is specifically based on Gravitational Search Algorithm (GSA) is proposed to combine model order selection and parameter estimation in one process. Both the model order and the parameters of the system are estimated simultaneously to attain the best mathematical model of a system. From the simulation, it is proven that the proposed method can be an alternative technique for solving the system identification problem.

Item Type: Conference or Workshop Item (Lecture)
Additional Information: Publisher: IEEE ISSN: 2166-0670 ISBN: 978-1-4799-8257-8
Uncontrolled Keywords: Gravitational search algorithm; system identification; model order selection; parameter estimation
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 13 Nov 2015 02:45
Last Modified: 08 Feb 2018 01:46
URI: http://umpir.ump.edu.my/id/eprint/10130
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