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Quantized control for uncertain singular Markovian jump linear systems with general incomplete transition rates

  • Jing Xie
  • , Yong Gui Kao*
  • , Cai Hong Zhang
  • , Hamid Reza Karimi
  • *Corresponding author for this work
  • Qingdao University of Technology
  • Harbin Institute of Technology Weihai
  • Qingdao University
  • Polytechnic University of Milan

Research output: Contribution to journalArticlepeer-review

Abstract

Quantization is indeed a natural way to take into consideration in the control design of the complexity constraints for the controller as well as the communication constraints in the information exchange between the controller and the plant. This paper is devoted to investigating quantized state-feedback control problems for a class of continuous-time uncertain singular Markovian jump linear systems (CUSMJLSs) with generally uncertain transition rates (GUTRs) and input quantization. In this case, each transition rate can be completely unknown or only its estimate value is known. First, input quantization is introduced, then by introducing new matrix inequality conditions, sufficient conditions are formulated for quantized state-feedback control of CSMJLUSs with GUTRs and input quantization. Finally, a numerical example is presented to illustrate the effectiveness and efficiency of the proposed results.

Original languageEnglish
Pages (from-to)1107-1116
Number of pages10
JournalInternational Journal of Control, Automation and Systems
Volume15
Issue number3
DOIs
StatePublished - 1 Jun 2017
Externally publishedYes

Keywords

  • Generally uncertain transition rate
  • input quantization
  • quantized control
  • singular Markovian jump system

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