Finite-Time HAsynchronous Control for Nonlinear Markov Jump Distributed Parameter Systems via Quantized Fuzzy Output-Feedback Approach

Xiaona Song, Mi Wang, Choon Ki Ahn, Shuai Song

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)

Abstract

This article focuses on the asynchronous output-feedback control design for a class of nonlinear Markov jump distributed parameter systems based on a hidden Markov model. Initially, the considered systems are represented by a Takagi-Sugeno fuzzy model via a sector nonlinearity approach. Furthermore, asynchronous quantizers are introduced to save the limited communication resource in engineering applications. Then, based on the Lyapunov direct method and some inequality techniques, a series of novel stability criteria, which guarantee the finite-time boundedness and H∞disturbance attenuation performance of the target plants, is established in the form of spatial differential linear matrix inequalities. Finally, a simulation study is provided to verify the viability of the developed approach.

Original languageEnglish
Article number8826312
Pages (from-to)4098-4109
Number of pages12
JournalIEEE Transactions on Cybernetics
Volume50
Issue number9
DOIs
Publication statusPublished - 2020 Sep

Keywords

  • Asynchronous output-feedback control
  • Markov jump
  • Takagi-Sugeno fuzzy model
  • distributed parameter systems (DPSs)
  • hidden Markov model (HMM)

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Information Systems
  • Human-Computer Interaction
  • Computer Science Applications
  • Electrical and Electronic Engineering

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