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Optimal filtering for stochastic descriptor systems with delayed measurements

  • Haoqian Wang*
  • , Huanshui Zhang
  • , Guangren Duan
  • , Qionghai Dai
  • , Xiaodong Liu
  • *Corresponding author for this work
  • Tsinghua University
  • Harbin Institute of Technology Shenzhen

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

Abstract

This note deals with discrete-time stochastic descriptor systems with both instantaneous and delayed measurements. The condition of the estimability for such system is given. By introducing the reorganized measurement sequence, the optimal Kalman filter and corresponding filtering error co-variance matrix are derived. The optimal filter is calculated without resorting to state augmentation which lessons the computation demand greatly. A numerical example is presented to illustrate the given algorithm.

Original languageEnglish
Title of host publicationProceedings of the World Congress on Intelligent Control and Automation (WCICA)
Pages1763-1767
Number of pages5
DOIs
StatePublished - 2006
Event6th World Congress on Intelligent Control and Automation, WCICA 2006 - Dalian, China
Duration: 21 Jun 200623 Jun 2006

Publication series

NameProceedings of the World Congress on Intelligent Control and Automation (WCICA)
Volume1

Conference

Conference6th World Congress on Intelligent Control and Automation, WCICA 2006
Country/TerritoryChina
CityDalian
Period21/06/0623/06/06

Keywords

  • Delayed measurement
  • Descriptor systems
  • Discrete-time systems
  • Measurements re-organization
  • State estimation

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