Stability Conditions for Remote State Estimation of Multiple Systems over Multiple Markov Fading Channels
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arXiv
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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2021
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866914989407731712 |
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| author | Liu, Wanchun Quevedo, Daniel E. Johansson, Karl H. Vucetic, Branka Li, Yonghui |
| author_facet | Liu, Wanchun Quevedo, Daniel E. Johansson, Karl H. Vucetic, Branka Li, Yonghui |
| contents | We investigate the stability conditions for remote state estimation of multiple linear time-invariant (LTI) systems over multiple wireless time-varying communication channels. We answer the following open problem: what is the fundamental requirement on the multi-sensor-multi-channel system to guarantee the existence of a sensor scheduling policy that can stabilize the remote estimation system? We propose a novel policy construction and analytical framework and derive the necessary-and-sufficient stability condition in terms of the LTI system parameters and the channel statistics. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2104_04181 |
| institution | arXiv |
| publishDate | 2021 |
| record_format | arxiv |
| spellingShingle | Stability Conditions for Remote State Estimation of Multiple Systems over Multiple Markov Fading Channels Liu, Wanchun Quevedo, Daniel E. Johansson, Karl H. Vucetic, Branka Li, Yonghui Systems and Control Information Theory We investigate the stability conditions for remote state estimation of multiple linear time-invariant (LTI) systems over multiple wireless time-varying communication channels. We answer the following open problem: what is the fundamental requirement on the multi-sensor-multi-channel system to guarantee the existence of a sensor scheduling policy that can stabilize the remote estimation system? We propose a novel policy construction and analytical framework and derive the necessary-and-sufficient stability condition in terms of the LTI system parameters and the channel statistics. |
| title | Stability Conditions for Remote State Estimation of Multiple Systems over Multiple Markov Fading Channels |
| topic | Systems and Control Information Theory |
| url | https://arxiv.org/abs/2104.04181 |