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Continuous-time Hammerstein model identification utilizing hybridization of augmented sine cosine algorithm and game-theoretic approach

The widespread use of dynamic systems has greatly simplified various human-operated tasks. However, the complex and nonlinear nature of these systems has posed challenges in determining their structure due to heavy reliance on modeling for theoretical and empirical purposes in academic and practical...

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Main Authors: Mohd Helmi, Suid, Mohd Ashraf, Ahmad, Ahmad Nor Kasruddin, Nasir, Mohd Riduwan, Ghazali, Jui, Julakha Jahan
Format: Article
Language:English
Published: Elsevier B.V. 2024
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/42473/1/Continuous-time%20hammerstein%20model%20identification%20utilizing%20hybridization.pdf
http://umpir.ump.edu.my/id/eprint/42473/
https://doi.org/10.1016/j.rineng.2024.102506
https://doi.org/10.1016/j.rineng.2024.102506
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spelling my.ump.umpir.424732024-09-06T08:20:16Z http://umpir.ump.edu.my/id/eprint/42473/ Continuous-time Hammerstein model identification utilizing hybridization of augmented sine cosine algorithm and game-theoretic approach Mohd Helmi, Suid Mohd Ashraf, Ahmad Ahmad Nor Kasruddin, Nasir Mohd Riduwan, Ghazali Jui, Julakha Jahan TK Electrical engineering. Electronics Nuclear engineering The widespread use of dynamic systems has greatly simplified various human-operated tasks. However, the complex and nonlinear nature of these systems has posed challenges in determining their structure due to heavy reliance on modeling for theoretical and empirical purposes in academic and practical contexts. This challenge is particularly evident in the Hammerstein model, which is well-known for its recognition of structural nonlinearity. To address the limitations of uncovering an optimized continuous-time Hammerstein model, researchers have explored the practical application of the Augmented Sine Cosine Algorithm-Game Theoretic (ASCA-GT). By combining the Game Theoretic (GT) and Sine Cosine Algorithm (SCA), this hybrid approach aims to achieve a nonlinear position-updated process for improved exploration and exploitation, while effectively overcoming issues like local optima trapping. The performance of ASCA-GT was evaluated using 13 benchmark functions and mathematical scenarios, as well as the Twin-Rotor System (TRS) and Electro-Mechanical Positioning System (EMPS). The effectiveness of the proposed technique was assessed using Wilcoxon's rank test, which confirmed the superior performance of ASCA-GT compared to other metaheuristic optimization methods in determining the continuous-time Hammerstein model. Elsevier B.V. 2024-09 Article PeerReviewed pdf en cc_by_nc_4 http://umpir.ump.edu.my/id/eprint/42473/1/Continuous-time%20hammerstein%20model%20identification%20utilizing%20hybridization.pdf Mohd Helmi, Suid and Mohd Ashraf, Ahmad and Ahmad Nor Kasruddin, Nasir and Mohd Riduwan, Ghazali and Jui, Julakha Jahan (2024) Continuous-time Hammerstein model identification utilizing hybridization of augmented sine cosine algorithm and game-theoretic approach. Results in Engineering, 23 (102506). pp. 1-23. ISSN 2590-1230. (Published) https://doi.org/10.1016/j.rineng.2024.102506 https://doi.org/10.1016/j.rineng.2024.102506
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Mohd Helmi, Suid
Mohd Ashraf, Ahmad
Ahmad Nor Kasruddin, Nasir
Mohd Riduwan, Ghazali
Jui, Julakha Jahan
Continuous-time Hammerstein model identification utilizing hybridization of augmented sine cosine algorithm and game-theoretic approach
description The widespread use of dynamic systems has greatly simplified various human-operated tasks. However, the complex and nonlinear nature of these systems has posed challenges in determining their structure due to heavy reliance on modeling for theoretical and empirical purposes in academic and practical contexts. This challenge is particularly evident in the Hammerstein model, which is well-known for its recognition of structural nonlinearity. To address the limitations of uncovering an optimized continuous-time Hammerstein model, researchers have explored the practical application of the Augmented Sine Cosine Algorithm-Game Theoretic (ASCA-GT). By combining the Game Theoretic (GT) and Sine Cosine Algorithm (SCA), this hybrid approach aims to achieve a nonlinear position-updated process for improved exploration and exploitation, while effectively overcoming issues like local optima trapping. The performance of ASCA-GT was evaluated using 13 benchmark functions and mathematical scenarios, as well as the Twin-Rotor System (TRS) and Electro-Mechanical Positioning System (EMPS). The effectiveness of the proposed technique was assessed using Wilcoxon's rank test, which confirmed the superior performance of ASCA-GT compared to other metaheuristic optimization methods in determining the continuous-time Hammerstein model.
format Article
author Mohd Helmi, Suid
Mohd Ashraf, Ahmad
Ahmad Nor Kasruddin, Nasir
Mohd Riduwan, Ghazali
Jui, Julakha Jahan
author_facet Mohd Helmi, Suid
Mohd Ashraf, Ahmad
Ahmad Nor Kasruddin, Nasir
Mohd Riduwan, Ghazali
Jui, Julakha Jahan
author_sort Mohd Helmi, Suid
title Continuous-time Hammerstein model identification utilizing hybridization of augmented sine cosine algorithm and game-theoretic approach
title_short Continuous-time Hammerstein model identification utilizing hybridization of augmented sine cosine algorithm and game-theoretic approach
title_full Continuous-time Hammerstein model identification utilizing hybridization of augmented sine cosine algorithm and game-theoretic approach
title_fullStr Continuous-time Hammerstein model identification utilizing hybridization of augmented sine cosine algorithm and game-theoretic approach
title_full_unstemmed Continuous-time Hammerstein model identification utilizing hybridization of augmented sine cosine algorithm and game-theoretic approach
title_sort continuous-time hammerstein model identification utilizing hybridization of augmented sine cosine algorithm and game-theoretic approach
publisher Elsevier B.V.
publishDate 2024
url http://umpir.ump.edu.my/id/eprint/42473/1/Continuous-time%20hammerstein%20model%20identification%20utilizing%20hybridization.pdf
http://umpir.ump.edu.my/id/eprint/42473/
https://doi.org/10.1016/j.rineng.2024.102506
https://doi.org/10.1016/j.rineng.2024.102506
_version_ 1822924646065897472
score 13.2324915

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