Distributed H_∞ consensus-based estimation of uncertain systems via dissipativity theory

Author(s): V. Ugrinovskii and C. Langbort
DOI: 10.1049/iet-cta.2010.0490

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Author(s): V. Ugrinovskii ¹ and C. Langbort ²
- Affiliations: 1: School of Engineering and Information Technology, University of New South Wales at the Australian Defence Force Academy, Australia
  2: Department of Aerospace Engineering, University of Illinois at Urbana-Champaign, USA
Source: Volume 5, Issue 12, 18 August 2011, p. 1458 – 1469
DOI: 10.1049/iet-cta.2010.0490 , Print ISSN 1751-8644, Online ISSN 1751-8652

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.

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

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

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Distributed H_∞ consensus-based estimation of uncertain systems via dissipativity theory

Distributed H_∞ consensus-based estimation of uncertain systems via dissipativity theory