Robust Decentralized Fuzzy Controller Design for Nonlinear Large-Scale Interconnected Descriptor Systems

This paper dealt with the robust control problem for fuzzy large-scale descriptor systems (FLSDS) with uncertainties. First, each nonlinear subsystem of the large-scale descriptor system was described as a FLSDS with interconnectivity and uncertainty. Based on the proportional-plus-derivative state...

Full description

Saved in:
Bibliographic Details
Published inJournal of physics. Conference series Vol. 2213; no. 1; pp. 12006 - 12016
Main Authors Chang, Wen-Jer, Su, Che-Lun, Pen, Chin-Lin, Lin, Zi-Yao
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.03.2022
Subjects
Control systems design
Controllers
Fuzzy control
Fuzzy systems
Linear matrix inequalities
Mathematical analysis
Physics
Robust control
State feedback
Subsystems
Uncertainty
Online AccessGet full text
ISSN1742-6588
1742-6596
1742-6596
DOI10.1088/1742-6596/2213/1/012006

Cover

More Information
Summary:This paper dealt with the robust control problem for fuzzy large-scale descriptor systems (FLSDS) with uncertainties. First, each nonlinear subsystem of the large-scale descriptor system was described as a FLSDS with interconnectivity and uncertainty. Based on the proportional-plus-derivative state feedback (PD) method, the decentralized fuzzy controller in each subsystem was designed to stabilize the whole system. In order to solve the uncertainties problem in the control system simply, a benefits robust approach has been proposed. The final stability conditions can be recast into the linear matrix inequality (LMI) problem by the Schur complement. At last, a numerical example was given to illustrate the control design procedure and its effectiveness.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1742-6588
1742-6596
1742-6596
DOI:10.1088/1742-6596/2213/1/012006