Observer-based output feedback control for sampled-data system with Markovian packet losses and stochastic sampling

Haoyuan Sun, Jie Chen, Jian Sun

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

1 Citation (Scopus)

Abstract

This paper is concerned with the stochastic stabilization problem of observer-based output feedback control for sampled-data system. Different from most previous studies, we assume stochastic sampling and packet dropout may occur simultaneously. The packet dropouts lost in both the sensor-controller (S/C) and controller-actuator (C/A) channels are modelled by two mutually independent stochastic variables satisfying a two-state Markov Chain, and the system state is sampled with a stochastic sampling interval following a certain probability density. An observer-based sampled-data control scheme is proposed to estimate the states and system input simultaneously. A sufficient condition is derived for sampled-data system with simultaneous stochastic sampling and packet dropout via the Kronecker product operation and the Vandermonde matrix. Moreover, the corresponding stabilization controller is then designed based on a cone complementarity linearization algorithm.

Original languageEnglish
Title of host publicationProceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4319-4324
Number of pages6
ISBN (Electronic)9781538611272
DOIs
Publication statusPublished - 15 Dec 2017
Event43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017 - Beijing, China
Duration: 29 Oct 20171 Nov 2017

Publication series

NameProceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
Volume2017-January

Conference

Conference43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017
Country/TerritoryChina
CityBeijing
Period29/10/171/11/17

Keywords

  • Sampled-data systems
  • packet dropout
  • stochastic sampling
  • stochastic stability

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