Fuzzy control synthesis for large-scale systems with weighted interconnections

NCUIR > College of Electrical Engineering & Computer Science > Department of Electrical Engineering > journal & Dissertation > Item 987654321/107260

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/107260

Title:	Fuzzy control synthesis for large-scale systems with weighted interconnections
Authors:	王文俊;Chang, Wei;Wang, Wen-June
Contributors:	資訊電機學院電機工程學系
Keywords:	compensation;control system synthesis;Controllers;decentralised control;decentralised controllers;Derivation;Fuzzy;Fuzzy control;fuzzy control synthesis;Fuzzy logic;interaction strength;interconnected systems;Interconnections;large scale systems;linear matrix inequalities;linear matrix inequality method;Mathematical models;nonlinear control systems;nonlinear subsystems;parallel distribution compensation type fuzzy controller;stabilisation conditions;stabilisation problem;stability;Takagi‐Sugeno fuzzy model;T‐S fuzzy model;variable weighting interconnections;Weighting
Date:	2013-08-28
Issue Date:	2026-04-23 14:03:11 (UTC+8)
Publisher:	Institution of Engineering and Technology;Stevenage: The Institution of Engineering and Technology
Abstract:	摘要： This study examines the stabilisation problem associated with a particular type of large-scale system. This type of large-scale system consists of several non-linear subsystems, which are connected to each other via interconnections of variable weighting. Interconnections of variable weighting between two subsystems denote that the interaction strength between the two subsystems is variable. Moreover, the weight may even be zero at some times or in some cases. In this study the authors suppose that the range of weight variation between any two subsystems is known, and that the stabilisation conditions for the large-scale system are derived and that decentralised controllers which satisfy the conditions are synthesised. In the main result derivation, the Takagi–Sugeno (T–S) fuzzy model of a large-scale system is used and a parallel distribution compensation (PDC) type fuzzy controller is synthesised based on the linear-matrix-inequality (LMI) method. Finally, a numerical example is given to demonstrate that the main theorem is applicable and the synthesised controller is effective. 出版者： Stevenage: The Institution of Engineering and Technology 出版日期： 2013-06 出處： IET control theory & applications, 2013-06, Vol.7 (9), p.1206-1218 資源來源： Wiley Online Library Journals [OA] Open Access 版權： The Institution of Engineering and Technology 版權： 2021 The Authors. IET Control Theory & Applications published by John Wiley & Sons, Ltd. on behalf of The Institution of Engineering and Technology 版權： Copyright The Institution of Engineering & Technology Jun 2013 識別號： ISSN: 1751-8644 識別號： EISSN: 1751-8652 識別號： DOI: 10.1049/iet-cta.2012.1007
Appears in Collections:	[Department of Electrical Engineering] journal & Dissertation

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