Decentralized robust interval type-2 fuzzy model predictive control for Takagi–Sugeno large-scale systems

Here, decentralized robust interval type-2 (IT2) fuzzy model predictive control (MPC) for Takagi–Sugeno (T-S) large-scale systems is studied. The large-scale system consists of many IT2 fuzzy T–S subsystems. Important necessities that limit the practical application of MPC are the online computation...

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Autores principales:	Mohammad Sarbaz, Iman Zamani, Mohammad Manthouri, Asier Ibeas
Formato:	article
Lenguaje:	EN
Publicado:	Taylor & Francis Group 2022
Materias:	large-scale systems interval type-2 fuzzy takagi–sugeno systems model predictive control Control engineering systems. Automatic machinery (General) TJ212-225 Automation T59.5
Acceso en línea:	https://doaj.org/article/905bb8a666fe471aa9385c9e5a86c018
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spelling	oai:doaj.org-article:905bb8a666fe471aa9385c9e5a86c0182021-12-01T14:40:58ZDecentralized robust interval type-2 fuzzy model predictive control for Takagi–Sugeno large-scale systems0005-11441848-338010.1080/00051144.2021.2003113https://doaj.org/article/905bb8a666fe471aa9385c9e5a86c0182022-01-01T00:00:00Zhttp://dx.doi.org/10.1080/00051144.2021.2003113https://doaj.org/toc/0005-1144https://doaj.org/toc/1848-3380Here, decentralized robust interval type-2 (IT2) fuzzy model predictive control (MPC) for Takagi–Sugeno (T-S) large-scale systems is studied. The large-scale system consists of many IT2 fuzzy T–S subsystems. Important necessities that limit the practical application of MPC are the online computational cost and burden of the frameworks. For MPC of T–S fuzzy large-scale systems, the online computational burden is even worse, and in some cases, they cannot be solved timely. Especially for severe, large-scale systems with disturbances, the MPC of T–S fuzzy large-scale systems usually give a conservative solution. So, researchers have many challenges and in finding a reasonable solution in a short time. Although more comfortable results can be achieved by the proposed fuzzy MPC approach, which adopts T–S large-scale systems with nonlinear subsystems, many restrictions are not considered. In this paper, challenges are solved, and the MPC is designed for a nonlinear IT2 fuzzy large-scale system with uncertainties and disturbances. Besides, the online optimization problem is solved, and results are proposed. Consequently, the online computational cost of the optimization problem is reduced considerably. Finally, the effectiveness of the proposed algorithm is illustrated with two practical examples.Mohammad SarbazIman ZamaniMohammad ManthouriAsier IbeasTaylor & Francis Grouparticlelarge-scale systemsinterval type-2 fuzzy takagi–sugeno systemsmodel predictive controlControl engineering systems. Automatic machinery (General)TJ212-225AutomationT59.5ENAutomatika, Vol 63, Iss 1, Pp 49-63 (2022)
institution	DOAJ
collection	DOAJ
language	EN
topic	large-scale systems interval type-2 fuzzy takagi–sugeno systems model predictive control Control engineering systems. Automatic machinery (General) TJ212-225 Automation T59.5
spellingShingle	large-scale systems interval type-2 fuzzy takagi–sugeno systems model predictive control Control engineering systems. Automatic machinery (General) TJ212-225 Automation T59.5 Mohammad Sarbaz Iman Zamani Mohammad Manthouri Asier Ibeas Decentralized robust interval type-2 fuzzy model predictive control for Takagi–Sugeno large-scale systems
description	Here, decentralized robust interval type-2 (IT2) fuzzy model predictive control (MPC) for Takagi–Sugeno (T-S) large-scale systems is studied. The large-scale system consists of many IT2 fuzzy T–S subsystems. Important necessities that limit the practical application of MPC are the online computational cost and burden of the frameworks. For MPC of T–S fuzzy large-scale systems, the online computational burden is even worse, and in some cases, they cannot be solved timely. Especially for severe, large-scale systems with disturbances, the MPC of T–S fuzzy large-scale systems usually give a conservative solution. So, researchers have many challenges and in finding a reasonable solution in a short time. Although more comfortable results can be achieved by the proposed fuzzy MPC approach, which adopts T–S large-scale systems with nonlinear subsystems, many restrictions are not considered. In this paper, challenges are solved, and the MPC is designed for a nonlinear IT2 fuzzy large-scale system with uncertainties and disturbances. Besides, the online optimization problem is solved, and results are proposed. Consequently, the online computational cost of the optimization problem is reduced considerably. Finally, the effectiveness of the proposed algorithm is illustrated with two practical examples.
format	article
author	Mohammad Sarbaz Iman Zamani Mohammad Manthouri Asier Ibeas
author_facet	Mohammad Sarbaz Iman Zamani Mohammad Manthouri Asier Ibeas
author_sort	Mohammad Sarbaz
title	Decentralized robust interval type-2 fuzzy model predictive control for Takagi–Sugeno large-scale systems
title_short	Decentralized robust interval type-2 fuzzy model predictive control for Takagi–Sugeno large-scale systems
title_full	Decentralized robust interval type-2 fuzzy model predictive control for Takagi–Sugeno large-scale systems
title_fullStr	Decentralized robust interval type-2 fuzzy model predictive control for Takagi–Sugeno large-scale systems
title_full_unstemmed	Decentralized robust interval type-2 fuzzy model predictive control for Takagi–Sugeno large-scale systems
title_sort	decentralized robust interval type-2 fuzzy model predictive control for takagi–sugeno large-scale systems
publisher	Taylor & Francis Group
publishDate	2022
url	https://doaj.org/article/905bb8a666fe471aa9385c9e5a86c018
work_keys_str_mv	AT mohammadsarbaz decentralizedrobustintervaltype2fuzzymodelpredictivecontrolfortakagisugenolargescalesystems AT imanzamani decentralizedrobustintervaltype2fuzzymodelpredictivecontrolfortakagisugenolargescalesystems AT mohammadmanthouri decentralizedrobustintervaltype2fuzzymodelpredictivecontrolfortakagisugenolargescalesystems AT asieribeas decentralizedrobustintervaltype2fuzzymodelpredictivecontrolfortakagisugenolargescalesystems
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Decentralized robust interval type-2 fuzzy model predictive control for Takagi–Sugeno large-scale systems

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