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Sampled-data control for a class of linear systems with randomly occurring missing data

  • Ju H. Park*
  • , Hao Shen
  • , Xiao Heng Chang
  • , Tae H. Lee
  • *Corresponding author for this work
  • Yeungnam University
  • Anhui University of Technology
  • Wuhan University of Science and Technology

Research output: Contribution to conferenceChapterpeer-review

Abstract

In this chapter, design methods of the sampled-data control under missing data for dynamics systems have been developed. Two models of discontinuous sampled-data control signals in the presence of the consecutive missing data scenario are proposed by using stochastic variables with a Bernoulli distributed white sequence. Sufficient conditions for the existence of desired sampled-data controllers are presented in the form of a linear matrix inequality. Finally, developed methods have been applied to RLC circuit to show the validity of the proposed methods.

Original languageEnglish
Title of host publicationStudies in Systems, Decision and Control
PublisherSpringer International Publishing
Pages69-84
Number of pages16
DOIs
StatePublished - 2019

Publication series

NameStudies in Systems, Decision and Control
Volume170
ISSN (Print)2198-4182
ISSN (Electronic)2198-4190

Keywords

  • Linear matrix inequalities
  • Lyapunov method
  • Missing data
  • Sampled-data control

Quacquarelli Symonds(QS) Subject Topics

  • Engineering - Mechanical
  • Computer Science & Information Systems
  • Mathematics
  • Data Science
  • Economics & Econometrics

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