Distributed partial state estimation for linear state-space systems
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866915905297973248 |
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| author | Jaiswal, Juhi Berger, Thomas Tomar, Nutan Kumar |
| author_facet | Jaiswal, Juhi Berger, Thomas Tomar, Nutan Kumar |
| contents | This study is concerned with the problem of partial state estimation for linear time-invariant (LTI) distributed state-space systems. A necessary and sufficient condition is established in terms of a simple rank criterion involving the system coefficient matrices, provided the communication graph is either directed, balanced and strongly connected or undirected and connected. The estimator parameter matrices are obtained by simple matrix theory. Finally, a numerical example demonstrates the feasibility and effectiveness of the proposed theoretical results and design algorithm. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_00680 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Distributed partial state estimation for linear state-space systems Jaiswal, Juhi Berger, Thomas Tomar, Nutan Kumar Optimization and Control This study is concerned with the problem of partial state estimation for linear time-invariant (LTI) distributed state-space systems. A necessary and sufficient condition is established in terms of a simple rank criterion involving the system coefficient matrices, provided the communication graph is either directed, balanced and strongly connected or undirected and connected. The estimator parameter matrices are obtained by simple matrix theory. Finally, a numerical example demonstrates the feasibility and effectiveness of the proposed theoretical results and design algorithm. |
| title | Distributed partial state estimation for linear state-space systems |
| topic | Optimization and Control |
| url | https://arxiv.org/abs/2604.00680 |