Adaptive Safe Experimentation Dynamics for Data- Driven Neuroendocrine-PID Control of MIMO Systems

A safe experimentation dynamics (SED) is a game-theoretic method that randomly perturbs several elements of its design parameter to search for the optimal design parameter. However, the accuracy of the standard SED can be further improved by proposing an adaptive SED method. This paper aims to de...

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Main Authors:	Mohd Riduwan, Ghazali, Mohd Ashraf, Ahmad, Raja Mohd Taufika, Raja Ismail
Format:	Article
Language:	English
Published:	Taylor & Francis 2019
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/27181/ http://umpir.ump.edu.my/id/eprint/27181/ http://umpir.ump.edu.my/id/eprint/27181/ http://umpir.ump.edu.my/id/eprint/27181/7/Adaptive%20Safe%20Experimentation%20Dynamics%20for%20Data1.pdf

id	ump-27181
recordtype	eprints
spelling	ump-271812020-02-03T08:17:39Z http://umpir.ump.edu.my/id/eprint/27181/ Adaptive Safe Experimentation Dynamics for Data- Driven Neuroendocrine-PID Control of MIMO Systems Mohd Riduwan, Ghazali Mohd Ashraf, Ahmad Raja Mohd Taufika, Raja Ismail TK Electrical engineering. Electronics Nuclear engineering A safe experimentation dynamics (SED) is a game-theoretic method that randomly perturbs several elements of its design parameter to search for the optimal design parameter. However, the accuracy of the standard SED can be further improved by proposing an adaptive SED method. This paper aims to develop a method based on adaptive safe experimentation dynamics (ASED) where the updated design parameter is modified to adapt to the change of the objective function. The proposed ASED is then used to tune the parameters of the neuroendocrine-PID controller. The neuroendocrine-PID controller, which is based on the secretion rule of hormone regulation in the human body and well known for its high control accuracy, is chosen to improve the conventional PID controller structure for the MIMO systems. Moreover, it is shown that the proposed neuroendocrine-PID based ASED can solve an unstable convergence problem in the existing neuroendocrine-PID based Simultaneous Perturbation Stochastic Approximation (SPSA). The performance of the proposed neuroendocrine- PID based on the ASED method is evaluated by tracking its performances and computational time. Additionally, the performance of the ASED based method is compared to the standard SED and SPSA based methods. The results of the simulation showed that the ASED method could provide table convergence by minimizing the function of the given objective. The ASED also obtains a value for the objective function and the total norm error for tracking performance accuracy that is lower compared to other methods. Taylor & Francis 2019 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/27181/7/Adaptive%20Safe%20Experimentation%20Dynamics%20for%20Data1.pdf Mohd Riduwan, Ghazali and Mohd Ashraf, Ahmad and Raja Mohd Taufika, Raja Ismail (2019) Adaptive Safe Experimentation Dynamics for Data- Driven Neuroendocrine-PID Control of MIMO Systems. IETE Journal of Research. pp. 1-15. ISSN 0377-2063 (Print); 0974-780X (Online) (In Press) https://doi.org/10.1080/03772063.2019.1656556 https://doi.org/10.1080/03772063.2019.1656556
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 Mohd Riduwan, Ghazali Mohd Ashraf, Ahmad Raja Mohd Taufika, Raja Ismail Adaptive Safe Experimentation Dynamics for Data- Driven Neuroendocrine-PID Control of MIMO Systems
description	A safe experimentation dynamics (SED) is a game-theoretic method that randomly perturbs several elements of its design parameter to search for the optimal design parameter. However, the accuracy of the standard SED can be further improved by proposing an adaptive SED method. This paper aims to develop a method based on adaptive safe experimentation dynamics (ASED) where the updated design parameter is modified to adapt to the change of the objective function. The proposed ASED is then used to tune the parameters of the neuroendocrine-PID controller. The neuroendocrine-PID controller, which is based on the secretion rule of hormone regulation in the human body and well known for its high control accuracy, is chosen to improve the conventional PID controller structure for the MIMO systems. Moreover, it is shown that the proposed neuroendocrine-PID based ASED can solve an unstable convergence problem in the existing neuroendocrine-PID based Simultaneous Perturbation Stochastic Approximation (SPSA). The performance of the proposed neuroendocrine- PID based on the ASED method is evaluated by tracking its performances and computational time. Additionally, the performance of the ASED based method is compared to the standard SED and SPSA based methods. The results of the simulation showed that the ASED method could provide table convergence by minimizing the function of the given objective. The ASED also obtains a value for the objective function and the total norm error for tracking performance accuracy that is lower compared to other methods.
format	Article
author	Mohd Riduwan, Ghazali Mohd Ashraf, Ahmad Raja Mohd Taufika, Raja Ismail
author_facet	Mohd Riduwan, Ghazali Mohd Ashraf, Ahmad Raja Mohd Taufika, Raja Ismail
author_sort	Mohd Riduwan, Ghazali
title	Adaptive Safe Experimentation Dynamics for Data- Driven Neuroendocrine-PID Control of MIMO Systems
title_short	Adaptive Safe Experimentation Dynamics for Data- Driven Neuroendocrine-PID Control of MIMO Systems
title_full	Adaptive Safe Experimentation Dynamics for Data- Driven Neuroendocrine-PID Control of MIMO Systems
title_fullStr	Adaptive Safe Experimentation Dynamics for Data- Driven Neuroendocrine-PID Control of MIMO Systems
title_full_unstemmed	Adaptive Safe Experimentation Dynamics for Data- Driven Neuroendocrine-PID Control of MIMO Systems
title_sort	adaptive safe experimentation dynamics for data- driven neuroendocrine-pid control of mimo systems
publisher	Taylor & Francis
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/27181/ http://umpir.ump.edu.my/id/eprint/27181/ http://umpir.ump.edu.my/id/eprint/27181/ http://umpir.ump.edu.my/id/eprint/27181/7/Adaptive%20Safe%20Experimentation%20Dynamics%20for%20Data1.pdf
first_indexed	2023-09-18T22:42:39Z
last_indexed	2023-09-18T22:42:39Z
_version_	1777417017432735744

Adaptive Safe Experimentation Dynamics for Data- Driven Neuroendocrine-PID Control of MIMO Systems

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