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Finite Time Decentralized Cubature Information Filtering with Directed Graph

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Abstract

This paper focuses on the distributed state estimation problem with finite communication time and directed graph for the nonlinear discrete system. A finite time decentralized cubature information filtering algorithm is proposed, of which the goal is to estimate the interested states in a fully distributed manner. The proposed filtering algorithm is applicable for the directed graph and only demands finite communication time to obtain satisfactory performance. Besides, the proposed filtering algorithm possesses guaranteed stability in the mean square sense. Finally, the effectiveness of the proposed algorithm is validated through the numerical simulation.

Original languageEnglish
Title of host publicationProceedings - 2020 Chinese Automation Congress, CAC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages900-905
Number of pages6
ISBN (Electronic)9781728176871
DOIs
StatePublished - 6 Nov 2020
Event2020 Chinese Automation Congress, CAC 2020 - Shanghai, China
Duration: 6 Nov 20208 Nov 2020

Publication series

NameProceedings - 2020 Chinese Automation Congress, CAC 2020

Conference

Conference2020 Chinese Automation Congress, CAC 2020
Country/TerritoryChina
CityShanghai
Period6/11/208/11/20

Keywords

  • Decentralized Cubature Information Filtering
  • Directed Graph
  • Distributed State Estimation
  • Finite Communication Time
  • Stability

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