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Guaranteed cost control for a class of networked control systems with Markov delays

  • Beihang University

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

Abstract

This note investigates the modeling and guaranteed cost control for a class of networked control systems (NCSs) with random Markov delays. The delay processes in the sensor-to-controller and controller-to-sensor are modeled as two Markov chains and a jump linear system model is established. By using the Lyapunov theory and the linear matrix inequality (LMI) technique, the sufficient condition for the stochastic stability of the closed-loop NCS is derived. Furthermore, the design method for the guaranteed cost control law is presented via the cone complementary linearization method. Finally, the numerical example demonstrates the validity of the proposed method.

Original languageEnglish
Title of host publicationProceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012
Pages361-365
Number of pages5
DOIs
StatePublished - 2012
Event2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012 - Singapore, Singapore
Duration: 18 Jul 201220 Jul 2012

Publication series

NameProceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012

Conference

Conference2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012
Country/TerritorySingapore
CitySingapore
Period18/07/1220/07/12

Keywords

  • guaranteed cost control
  • jump linear system
  • linear matrix inequality
  • markov chains
  • networked control systems
  • random delays

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