LAPSE:2023.1286
Published Article

LAPSE:2023.1286
Decentralized Multi-Performance Fuzzy Control for Nonlinear Large-Scale Descriptor Systems
February 21, 2023
Abstract
This article addresses the decentralized multi-performance (MP) fuzzy control problem of nonlinear large-scale descriptor (LSD) systems. The considered LSD system contains several subsystems with nonlinear interconnection and external disturbances, and the Takagi−Sugeno fuzzy model (TSFM) is adopted to represent each nonlinear subsystem. Based on the proportional-plus-derivative state feedback (PDSF) scheme, we aim to design a decentralized MP fuzzy controller that guarantees the stabilization, mixed H∞, and passivity performance control (MHPPC), and the guaranteed cost control (GCC) performance of the closed-loop Takagi−Sugeno LSD (TSLSD) systems. Furthermore, we introduce the Lyapunov stability theory and the free-weighting matrix scheme to analyze the stability of the TSLSD system. The proposed sufficient conditions can be transformed as linear matrix inequality (LMI) forms through Schur’s complement, which can be easily solved with the LMI Toolbox. Finally, to illustrate the proposed approach, two examples and simulation results are presented.
This article addresses the decentralized multi-performance (MP) fuzzy control problem of nonlinear large-scale descriptor (LSD) systems. The considered LSD system contains several subsystems with nonlinear interconnection and external disturbances, and the Takagi−Sugeno fuzzy model (TSFM) is adopted to represent each nonlinear subsystem. Based on the proportional-plus-derivative state feedback (PDSF) scheme, we aim to design a decentralized MP fuzzy controller that guarantees the stabilization, mixed H∞, and passivity performance control (MHPPC), and the guaranteed cost control (GCC) performance of the closed-loop Takagi−Sugeno LSD (TSLSD) systems. Furthermore, we introduce the Lyapunov stability theory and the free-weighting matrix scheme to analyze the stability of the TSLSD system. The proposed sufficient conditions can be transformed as linear matrix inequality (LMI) forms through Schur’s complement, which can be easily solved with the LMI Toolbox. Finally, to illustrate the proposed approach, two examples and simulation results are presented.
Record ID
Keywords
decentralized proportional-plus-derivative state feedback control, multi-performance fuzzy control, Takagi–Sugeno large-scale descriptor systems
Subject
Suggested Citation
Su CL, Chang WJ, Pen CL. Decentralized Multi-Performance Fuzzy Control for Nonlinear Large-Scale Descriptor Systems. (2023). LAPSE:2023.1286
Author Affiliations
Su CL: Department of Marine Engineering, National Taiwan Ocean University, Keelung 202, Taiwan [ORCID]
Chang WJ: Department of Marine Engineering, National Taiwan Ocean University, Keelung 202, Taiwan [ORCID]
Pen CL: Department of Marine Engineering, National Taiwan Ocean University, Keelung 202, Taiwan
Chang WJ: Department of Marine Engineering, National Taiwan Ocean University, Keelung 202, Taiwan [ORCID]
Pen CL: Department of Marine Engineering, National Taiwan Ocean University, Keelung 202, Taiwan
Journal Name
Processes
Volume
10
Issue
12
First Page
2578
Year
2022
Publication Date
2022-12-03
ISSN
2227-9717
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Original Submission
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PII: pr10122578, Publication Type: Journal Article
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LAPSE:2023.1286
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https://doi.org/10.3390/pr10122578
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Feb 21, 2023
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