Design of distributed H consensus filters for uncertain systems via dissipativity theory

Valery Ugrinovskii, Cedric Langbort

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The paper addresses a problem of design of distributed robust filters using the dissipativity theory of distributed systems. The main result is a sufficient condition which guarantees a suboptimal H level of disagreement of estimates in a network of estimators. The condition is formulated in terms of feasibility of certain linear matrix inequalities (LMIs). It is shown using an example that the proposed approach leads to an improved consensus performance.

Original languageEnglish (US)
Title of host publication2010 49th IEEE Conference on Decision and Control, CDC 2010
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5720-5725
Number of pages6
ISBN (Print)9781424477456
DOIs
StatePublished - 2010
Event49th IEEE Conference on Decision and Control, CDC 2010 - Atlanta, United States
Duration: Dec 15 2010Dec 17 2010

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Conference

Conference49th IEEE Conference on Decision and Control, CDC 2010
Country/TerritoryUnited States
CityAtlanta
Period12/15/1012/17/10

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

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