State estimation for systems with delayed measurements: An interacting multiple model approach

Runze Tou, Meihua Gao, Ran Huang, Jinhui Zhang

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

Abstract

This paper investigates state estimation problem for systems with delayed measurements, which is often encountered in networked control systems. The measurement transmission delay is modeled as Markov chain. By using the state augmentation technique, the system with delayed measurements is converted into a special multiple model system, then, the Interacting Multiple Model algorithm is applied to estimate the system states. Finally, the simulation results demonstrate the effectiveness of the proposed methods.

Original languageEnglish
Title of host publicationProceedings of the 34th Chinese Control Conference, CCC 2015
EditorsQianchuan Zhao, Shirong Liu
PublisherIEEE Computer Society
Pages6679-6684
Number of pages6
ISBN (Electronic)9789881563897
DOIs
Publication statusPublished - 11 Sept 2015
Externally publishedYes
Event34th Chinese Control Conference, CCC 2015 - Hangzhou, China
Duration: 28 Jul 201530 Jul 2015

Publication series

NameChinese Control Conference, CCC
Volume2015-September
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference34th Chinese Control Conference, CCC 2015
Country/TerritoryChina
CityHangzhou
Period28/07/1530/07/15

Keywords

  • Interacting Multiple Model algorithm
  • Network Communication Delay
  • Networked Control Systems (NCSs)
  • State Estimation

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