Distributed system identification for linear stochastic systems with binary sensors
The problem of distributed identification of linear stochastic system with unknown coefficient θ∗ over time-varying networks is considered. For estimating θ∗, 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 dis...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier Ltd
2022
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Subjects: | |
Online Access: | View Fulltext in Publisher |