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arXiv · 2108.01488

Distributed System Identification for Linear Stochastic Systems with Binary Sensors

Kewei Fu·Han-Fu Chen·Wenxiao Zhao
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Abstract

The problem of distributed identification of linear stochastic system with unknown coefficients over time-varying networks is considered. For estimating the unknown coefficients, each agent in the network can only access the input and the binary-valued output of the local system. Compared with the existing works on distributed optimization and estimation, the binary-valued local output observation considered in the paper makes the problem challenging. By assuming that the agent in the network can communicate with its adjacent neighbours, a stochastic approximation based distributed identification algorithm is proposed, and the consensus and convergence of the estimates are established. Finally, a numerical example is given showing that the simulation results are consistent with the theoretical analysis.

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Kewei Fu, Han-Fu Chen, Wenxiao Zhao. 2021-08-03. Distributed System Identification for Linear Stochastic Systems with Binary Sensors. https://arxiv.org/abs/2108.01488

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