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Distributed Receding Horizon Kalman Filter

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Author

Summary, in English

In this paper a distributed version of the Kalman filter is proposed. In particular, the estimation problem is reduced to the optimization of a cost function that depends on the system dynamics and the latest output measurements and state estimates which is distributed among the agents by means of dual decomposition. The techniques presented in the paper are applied to estimate the position of mobile agents.

Publishing year

2010

Language

English

Publication/Series

49th IEEE Conference on Decision and Control (CDC)

Document type

Conference paper

Topic

  • Control Engineering

Conference name

49th IEEE Conference on Decision and Control

Conference date

2010-12-15

Conference place

Atlanta, Georgia, United States

Status

Published

Research group

  • LCCC

ISBN/ISSN/Other

  • ISBN: 978-1-4244-7745-6