Observer-based output feedback control of sampled-data system under stochastic sampling

Haoyuan Sun*, Jian Sun, Jie Chen, Jun Jin

*Corresponding author for this work

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

2 Citations (Scopus)

Abstract

This paper is concerned with output feedback stabilization problem for a class of sampled-data systems under stochastic sampling. Different from the existing results, a systems matrix A whose eigenvalues contain zero is allowed. By combining the Kronecker product operation with the Vandermonde matrix, a sufficient condition is developed to guarantee the stochastic stability of the closed-loop system. Based on linear matrix inequality (LMI) and a cone complementarity linearization algorithm, a method of designing an observer-based output feedback controller for the system is given. Finally, a simulation example is given to show the effectiveness of the proposed method.

Original languageEnglish
Title of host publication2016 22nd International Conference on Automation and Computing, ICAC 2016
Subtitle of host publicationTackling the New Challenges in Automation and Computing
EditorsJing Wang, Zhijie Xu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages498-503
Number of pages6
ISBN (Electronic)9781862181311
DOIs
Publication statusPublished - 20 Oct 2016
Event22nd International Conference on Automation and Computing, ICAC 2016 - Colchester, United Kingdom
Duration: 7 Sept 20168 Sept 2016

Publication series

Name2016 22nd International Conference on Automation and Computing, ICAC 2016: Tackling the New Challenges in Automation and Computing

Conference

Conference22nd International Conference on Automation and Computing, ICAC 2016
Country/TerritoryUnited Kingdom
CityColchester
Period7/09/168/09/16

Keywords

  • Observer-based output feedback
  • Sampled-data system
  • Stochastic sampling
  • Stochastic stability

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