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
Pages5720-5725
Number of pages6
DOIs
StatePublished - Dec 1 2010
Event2010 49th IEEE Conference on Decision and Control, CDC 2010 - Atlanta, GA, United States
Duration: Dec 15 2010Dec 17 2010

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0191-2216

Other

Other2010 49th IEEE Conference on Decision and Control, CDC 2010
CountryUnited States
CityAtlanta, GA
Period12/15/1012/17/10

ASJC Scopus subject areas

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

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