Title | ||
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Structural and Strongly Structural Input and State Observability of Linear Network Systems. |
Abstract | ||
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This paper studies linear network systems affected by multiple unknown inputs with the objective of reconstructing both the initial state and the unknown input with one time-step delay. We state conditions under which both the whole network state and the unknown input can be reconstructed from output measurements, over every window of length N, with N being the dimension of the system, for all sys... |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/TCNS.2017.2782489 | IEEE Transactions on Control of Network Systems |
Keywords | Field | DocType |
Cyber-physical systems,Observability,Linear systems,Control systems,Delays,Artificial neural networks | Topology,Observability,Linear system,Control theory,Matrix (mathematics),Linear network,Control system,Artificial neural network,Mathematics | Journal |
Volume | Issue | ISSN |
5 | 4 | 2325-5870 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sebin Gracy | 1 | 1 | 0.35 |
Federica Garin | 2 | 55 | 11.52 |
Alain Y. Kibangou | 3 | 95 | 12.01 |