Title
Structural and Strongly Structural Input and State Observability of Linear Network Systems.
Abstract
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 Gracy110.35
Federica Garin25511.52
Alain Y. Kibangou39512.01