Distributed H consensus-based estimation of uncertain systems via dissipativity theory

V. Ugrinovskii, Cedric Langbort

Research output: Contribution to journalArticlepeer-review


The study addresses the 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. For a special case of a distributed estimator neutrally connected over a circulant graph, it is shown using an example that the proposed approach leads to an improved consensus performance.

Original languageEnglish (US)
Pages (from-to)1458-1469
Number of pages12
JournalIET Control Theory and Applications
Issue number12
StatePublished - Aug 18 2011

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Human-Computer Interaction
  • Computer Science Applications
  • Control and Optimization
  • Electrical and Electronic Engineering


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