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

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 ex...

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Main Authors: Kamil Zakwan, Mohd Azmi, Pebrianti, Dwi, Zuwairie, Ibrahim, Shahdan, Sudin, Sophan Wahyudi, Nawawi
Format: Conference or Workshop Item
Language:English
Published: 2015
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/10130/
http://umpir.ump.edu.my/id/eprint/10130/
http://umpir.ump.edu.my/id/eprint/10130/1/Simultaneous%20Computation%20of%20Model%20Order%20and%20Parameter%20Estimation%20for%20System%20Identification%20Based%20on%20Gravitational%20Search%20Algorithm.pdf
id ump-10130
recordtype eprints
spelling ump-101302018-02-08T01:46:15Z http://umpir.ump.edu.my/id/eprint/10130/ Simultaneous Computation of Model Order and Parameter Estimation for System Identification Based on Gravitational Search Algorithm Kamil Zakwan, Mohd Azmi Pebrianti, Dwi Zuwairie, Ibrahim Shahdan, Sudin Sophan Wahyudi, Nawawi TK Electrical engineering. Electronics Nuclear engineering 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. 2015 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/10130/1/Simultaneous%20Computation%20of%20Model%20Order%20and%20Parameter%20Estimation%20for%20System%20Identification%20Based%20on%20Gravitational%20Search%20Algorithm.pdf 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.. http://dx.doi.org/10.1109/ISMS.2015.15
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Kamil Zakwan, Mohd Azmi
Pebrianti, Dwi
Zuwairie, Ibrahim
Shahdan, Sudin
Sophan Wahyudi, Nawawi
Simultaneous Computation of Model Order and Parameter Estimation for System Identification Based on Gravitational Search Algorithm
description 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.
format Conference or Workshop Item
author Kamil Zakwan, Mohd Azmi
Pebrianti, Dwi
Zuwairie, Ibrahim
Shahdan, Sudin
Sophan Wahyudi, Nawawi
author_facet Kamil Zakwan, Mohd Azmi
Pebrianti, Dwi
Zuwairie, Ibrahim
Shahdan, Sudin
Sophan Wahyudi, Nawawi
author_sort Kamil Zakwan, Mohd Azmi
title Simultaneous Computation of Model Order and Parameter Estimation for System Identification Based on Gravitational Search Algorithm
title_short Simultaneous Computation of Model Order and Parameter Estimation for System Identification Based on Gravitational Search Algorithm
title_full Simultaneous Computation of Model Order and Parameter Estimation for System Identification Based on Gravitational Search Algorithm
title_fullStr Simultaneous Computation of Model Order and Parameter Estimation for System Identification Based on Gravitational Search Algorithm
title_full_unstemmed Simultaneous Computation of Model Order and Parameter Estimation for System Identification Based on Gravitational Search Algorithm
title_sort simultaneous computation of model order and parameter estimation for system identification based on gravitational search algorithm
publishDate 2015
url http://umpir.ump.edu.my/id/eprint/10130/
http://umpir.ump.edu.my/id/eprint/10130/
http://umpir.ump.edu.my/id/eprint/10130/1/Simultaneous%20Computation%20of%20Model%20Order%20and%20Parameter%20Estimation%20for%20System%20Identification%20Based%20on%20Gravitational%20Search%20Algorithm.pdf
first_indexed 2023-09-18T22:09:25Z
last_indexed 2023-09-18T22:09:25Z
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