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Author:

Zhao, Feng-Liang (Zhao, Feng-Liang.) | Wang, Zi-Peng (Wang, Zi-Peng.) | Wu, Huai-Ning (Wu, Huai-Ning.) | Qiao, Jun-Fei (Qiao, Jun-Fei.) | Yan, Xue-Hua (Yan, Xue-Hua.) | Li, Han-Xiong (Li, Han-Xiong.)

Indexed by:

EI Scopus SCIE

Abstract:

This article investigates robust non-fragile event-triggered sampled-data fuzzy (ETSDF) control for uncertain nonlinear delayed distributed parameter systems. Initially, a T-S fuzzy delayed partial differential equation model is presented to exactly describe the uncertain nonlinear delayed distributed parameter systems (DPS). secondly, a robust non-fragile ETSDF control strategy is proposed to reduce the unnecessary SD and cope with the uncertainties in controller and system. Then, based on an appropriate Lyapunov functional, the exponential stability conditions of closed-loop nonlinear delayed DPS via linear matrix inequalities are presented. Lastly, one example is presented to illustrate the design method.

Keyword:

Fuzzy control Robust control Event-triggered sampled-data control Nonlinear delayed distributed parameter systems

Author Community:

  • [ 1 ] [Zhao, Feng-Liang]Univ Jinan, Sch Elect Engn, Jinan 250022, Peoples R China
  • [ 2 ] [Yan, Xue-Hua]Univ Jinan, Sch Elect Engn, Jinan 250022, Peoples R China
  • [ 3 ] [Wang, Zi-Peng]Beijing Key Lab Computat Intelligence & Intelligen, Fac Informat Technol, Beijing Lab Smart Environm Protect, Beijing 100124, Peoples R China
  • [ 4 ] [Qiao, Jun-Fei]Beijing Key Lab Computat Intelligence & Intelligen, Fac Informat Technol, Beijing Lab Smart Environm Protect, Beijing 100124, Peoples R China
  • [ 5 ] [Wang, Zi-Peng]Beijing Univ Technol, Beijing Inst Artificial Intelligence, Beijing 100124, Peoples R China
  • [ 6 ] [Qiao, Jun-Fei]Beijing Univ Technol, Beijing Inst Artificial Intelligence, Beijing 100124, Peoples R China
  • [ 7 ] [Wu, Huai-Ning]Beihang Univ, Sch Automation Sci & Elect Engn, Sci & Technol Aircraft Control Lab, Beijing 100191, Peoples R China
  • [ 8 ] [Li, Han-Xiong]City Univ Hong Kong, Dept Syst Engn & Engn Management, Hong Kong, Peoples R China

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Source :

INTERNATIONAL JOURNAL OF FUZZY SYSTEMS

ISSN: 1562-2479

Year: 2023

Issue: 6

Volume: 25

Page: 2312-2325

4 . 3 0 0

JCR@2022

ESI Discipline: ENGINEERING;

ESI HC Threshold:19

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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