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Distributed Estimation in Networks

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Encyclopedia of Systems and Control

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Abstract

The entry overviews theory and application of distributed estimation in networks. Distributed estimation research focuses on designing a network of agents that estimate the state of a large-scale dynamical system, where information exchange between the agents plays a critical role. We discuss algorithms for distributed estimation that define how the agents exchange information and update their state estimates using exchanged information and sensor measurements on the system’s state. We review key theoretical results on the algorithm design that find exact conditions under which the state estimate at each agent converges to the system’s state and analyze the effect of disturbances in system models, sensing, and communication on estimation performance. To emphasize the importance of the research, we explain key applications of distributed estimation approaches in engineering problems such as distributed control design for maneuvering a vehicle platoon and sensor network design for monitoring wild animal groups.

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Author information

Authors and Affiliations

  1. Department of Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ, USA

    Shinkyu Park

  2. Department of Electrical and Computer Engineering, Institute for Systems Research, University of Maryland, College Park, MD, USA

    Nuno C. Martins

Authors
  1. Shinkyu Park
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  2. Nuno C. Martins
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Corresponding author

Correspondence to Shinkyu Park .

Editor information

Editors and Affiliations

  1. Electrical and Computer Engineering, Boston University, Boston, MA, USA

    John Baillieul

  2. Automation and Control Solutions, Honeywell, Golden Valley, MN, USA

    Tariq Samad

Section Editor information

  1. Department of Mechanical and Aerospace Engineering, University of California, La Jolla, CA, USA

    Jorge Cortés Associate Professor

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Park, S., Martins, N.C. (2020). Distributed Estimation in Networks. In: Baillieul, J., Samad, T. (eds) Encyclopedia of Systems and Control. Springer, London. https://doi.org/10.1007/978-1-4471-5102-9_100141-1

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  • DOI: https://doi.org/10.1007/978-1-4471-5102-9_100141-1

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-5102-9

  • Online ISBN: 978-1-4471-5102-9

  • eBook Packages: Springer Reference EngineeringReference Module Computer Science and Engineering

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