Distributed estimation based on multi-hop subspace decomposition

Abstract : This paper deals with the problem of distributedly estimating the state of an LTI plant through an interconnected network of agents. The proposed approach results in an observer structure that incorporates consensus among the agents and that can be distributedly designed, achieving a robust solution with a good estimation performance. The developed solution is based on an iterative decomposition of the plant in the local observable staircase forms. The proposed observer has several positive features compared to recent results in the literature, which include milder assumptions on the network connectivity and the ability to set the convergence rate.
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Submitted on : Tuesday, November 13, 2018 - 11:26:39 AM
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Alvaro Rodrigues del Nozal, Pablo Millan Gata, Luis Orihuela, Alexandre Seuret, Luca Zaccarian. Distributed estimation based on multi-hop subspace decomposition. Automatica, Elsevier, 2019, 99, pp.213-220. ⟨10.1016/j.automatica.2018.10.034⟩. ⟨hal-01920417⟩



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