Fixed/preassigned-time output synchronization for T–S fuzzy complex networks via quantized control

Gao, Y; Yu, J; Hu, C; Wen, S; Kong, F

Fixed/preassigned-time output synchronization for T–S fuzzy complex networks via quantized control

Gao, Y Yu, J Hu, C Wen, S

Kong, F

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Publisher:: Elsevier
Publication Type:: Journal Article
Citation:: Nonlinear Analysis: Hybrid Systems, 2024, 51, pp. 101434
Issue Date:: 2024-02-01

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Field	Value	Language
dc.contributor.author	Gao, Y
dc.contributor.author	Yu, J
dc.contributor.author	Hu, C
dc.contributor.author	Wen, S https://orcid.org/0000-0001-8077-7001
dc.contributor.author	Kong, F
dc.date.accessioned	2024-01-16T21:03:21Z
dc.date.available	2024-01-16T21:03:21Z
dc.date.issued	2024-02-01
dc.identifier.citation	Nonlinear Analysis: Hybrid Systems, 2024, 51, pp. 101434
dc.identifier.issn	1751-570X
dc.identifier.uri	http://hdl.handle.net/10453/174610
dc.description.abstract	This article is devoted to the analysis of fixed-time (FXT) and preassigned-time (PAT) output synchronization for T–S fuzzy complex networks (CNs). Firstly, to improve transmission efficiency of information, a kind of pure power-law control strategy with logarithmic quantization is designed and the power-law terms have only one free parameter. Then, by applying FXT stability theorem as well as inequality skills, some compact criteria are obtained to achieve FXT output synchronization of T–S fuzzy CNs, and the restriction on the output matrix with positive definite and diagonal form is removed. Furthermore, the PAT output synchronization of T–S fuzzy CNs is further explored by developing a quantized control scheme with power-law form. Three numerical examples in the end are given to attest the proposed control design and criteria.
dc.language	en
dc.publisher	Elsevier
dc.relation.ispartof	Nonlinear Analysis: Hybrid Systems
dc.relation.isbasedon	10.1016/j.nahs.2023.101434
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0102 Applied Mathematics, 0103 Numerical and Computational Mathematics, 0906 Electrical and Electronic Engineering
dc.subject.classification	Industrial Engineering & Automation
dc.subject.classification	46 Information and computing sciences
dc.subject.classification	49 Mathematical sciences
dc.title	Fixed/preassigned-time output synchronization for T–S fuzzy complex networks via quantized control
dc.type	Journal Article
utslib.citation.volume	51
utslib.for	0102 Applied Mathematics
utslib.for	0103 Numerical and Computational Mathematics
utslib.for	0906 Electrical and Electronic Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - AAII - Australian Artificial Intelligence Institute
utslib.copyright.status	closed_access	*
dc.date.updated	2024-01-16T21:03:19Z
pubs.publication-status	Accepted
pubs.volume	51

Abstract:

This article is devoted to the analysis of fixed-time (FXT) and preassigned-time (PAT) output synchronization for T–S fuzzy complex networks (CNs). Firstly, to improve transmission efficiency of information, a kind of pure power-law control strategy with logarithmic quantization is designed and the power-law terms have only one free parameter. Then, by applying FXT stability theorem as well as inequality skills, some compact criteria are obtained to achieve FXT output synchronization of T–S fuzzy CNs, and the restriction on the output matrix with positive definite and diagonal form is removed. Furthermore, the PAT output synchronization of T–S fuzzy CNs is further explored by developing a quantized control scheme with power-law form. Three numerical examples in the end are given to attest the proposed control design and criteria.

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http://hdl.handle.net/10453/174610