Fuzzy networked control systems with communication constraints

  • Magdi S. Mahmoud*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

The state and observer-based feedback control designs for linear systems connected over a common digital communication network are addressed. Digital communication network conditions, such as network-induced delays, data packet dropouts and limited communication capacity due to signal quantization are taken into consideration. A control design criterion is derived on the basis of the Lyapunov-Krasovskii functional method. A novel interval delay system approach is used for stability analysis and control synthesis for networked control systems with two static quantizers. Two numerical examples are given to show the application of the method proposed.

Original languageEnglish
Pages (from-to)543-564
Number of pages22
JournalIMA Journal of Mathematical Control and Information
Volume34
Issue number2
DOIs
StatePublished - 1 Jun 2017

Bibliographical note

Publisher Copyright:
© The authors 2015. Published by Oxford University Press on behalf of the Institute of Mathematics and its Applications.

Keywords

  • LMI
  • Lyapunov-Krasovskii theory
  • delay systems
  • fuzzy networked control systems
  • quantizer

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Control and Optimization
  • Applied Mathematics

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