1. Distributed System Identification for Linear Stochastic Systems with Binary Sensors
- Author
-
Fu, Kewei, Chen, Han-Fu, and Zhao, Wenxiao
- Subjects
Electrical Engineering and Systems Science - Systems and Control - 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.
- Published
- 2021