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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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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