Event-triggered multi-sensor scheduling for remote state estimation over packet-dropping networks
We study the multi-sensor remote state estimation problem over packet-dropping networks and employ a stochastic event-triggered scheduler to conserve energy and bandwidth. Due to packet drops, the Gaussian property of the system state, commonly used in the literature, no longer holds. We prove that...
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Main Authors: | , , , , |
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Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2025
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/182397 |
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Institution: | Nanyang Technological University |
Language: | English |