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Sampled-Data Observer Design for Space-Varying Distributed Parameter Systems

  • University of Jinan
  • Texas A&M University at Qatar

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

Abstract

This paper considers the sampled-data observer design problem of space-varying distributed parameter systems (DPSs). By utilizing a Lyapunov functional, a sampled-data observer design is developed by spatial linear matrix inequalities (SLMIs) to guarantee the exponential stability for the estimation error DPS. Furthermore, to solve SLMIs, the sampled-data observer design for space-varying DPSs is formulated as an LMI feasibility problem. Lastly, simulation results of a numerical example are provided to illustrate the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationProceedings of the 39th Chinese Control Conference, CCC 2020
EditorsJun Fu, Jian Sun
PublisherIEEE Computer Society
Pages1289-1293
Number of pages5
ISBN (Electronic)9789881563903
DOIs
StatePublished - Jul 2020
Event39th Chinese Control Conference, CCC 2020 - Shenyang, China
Duration: 27 Jul 202029 Jul 2020

Publication series

NameChinese Control Conference, CCC
Volume2020-July
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference39th Chinese Control Conference, CCC 2020
Country/TerritoryChina
CityShenyang
Period27/07/2029/07/20

Keywords

  • Sampled-data observer
  • distributed parameter systems (DPSs)
  • spatial linear matrix inequality (SLMI)

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