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Fuzzy adaptive decentralized control for a class of large-scale fractional-order systems

  • University of Macau
  • Henan University of Science and Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper proposes a fuzzy adaptive decentralized control scheme for a class of large-scale fractional-order nonlinear system with strick feedback form. In the design process, fuzzy logic systems is utilized to model the uncertain system. Based on the common Lyapunov function, a large-scale fractional-order control method is presented. It is testified that all the signals in the closed-loop system are bounded, and the outputs of systems have satisfactory tracking performance. Simulation results demonstrate the effectiveness and feasibility of the proposed control method.

Original languageEnglish
Title of host publicationProceedings - 2020 35th Youth Academic Annual Conference of Chinese Association of Automation, YAC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages761-766
Number of pages6
ISBN (Electronic)9781728176840
DOIs
StatePublished - 16 Oct 2020
Event35th Youth Academic Annual Conference of Chinese Association of Automation, YAC 2020 - Zhanjiang, China
Duration: 16 Oct 202018 Oct 2020

Publication series

NameProceedings - 2020 35th Youth Academic Annual Conference of Chinese Association of Automation, YAC 2020

Conference

Conference35th Youth Academic Annual Conference of Chinese Association of Automation, YAC 2020
Country/TerritoryChina
CityZhanjiang
Period16/10/2018/10/20

Keywords

  • Adaptive fuzzy control
  • Fractional-order systems
  • Fuzzy Logic Systems
  • Large-scale systems

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