Please use this identifier to cite or link to this item:
Title: Decentralized robust fuzzy controller with nonlinear local models for large-scale interconnected systems
Authors: Teng, Long
Wang, Youyi
Cai, Wenjian
Li, Hua
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2017
Source: Teng, L., Wang, Y., Cai, W., & Li, H. (2017). Decentralized robust fuzzy controller with nonlinear local models for large-scale interconnected systems. 2017 13th IEEE International Conference on Control & Automation (ICCA), 642-647. doi:10.1109/icca.2017.8003135
metadata.dc.contributor.conference: 2017 13th IEEE International Conference on Control & Automation (ICCA)
Abstract: In this paper, a kind of decentralized robust fuzzy controller which uses nonlinear local models is designed for the control of large-scale interconnected systems. The approach of T-S fuzzy model with nonlinear local models rather than with linear local model can bring some advantages. Especially for large-scale interconnected systems which often contain a lot of complex nonlinear interconnection functions, the number of fuzzy rules can be decreased as well as the computational burden can be reduced. Meanwhile, the parameter uncertainties within each subsystem and in the interconnection of subsystems are also considered to achieve robustness of the system's performance. In addition, guaranteed cost control (H 2 control) is realized and the control synthesis conditions are given by solving a set of linear matrix inequalities (LMIs). Simulation result is given to illustrate the effectiveness of the proposed method.
ISBN: 978-1-5386-2679-5
DOI: 10.1109/ICCA.2017.8003135
Schools: School of Electrical and Electronic Engineering 
School of Mechanical and Aerospace Engineering 
Interdisciplinary Graduate School (IGS) 
Research Centres: Energy Research Institute @ NTU (ERI@N) 
Rights: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at:
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Conference Papers

Page view(s)

Updated on Dec 2, 2023

Download(s) 50

Updated on Dec 2, 2023

Google ScholarTM




Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.