Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Venkat Ram Subramanian"'
Publikováno v:
IEEE Transactions on Automatic Control. 67:2771-2783
Complex networked systems can be modeled and represented as graphs, with nodes representing the agents and the links describing the dynamic coupling between them. The fundamental objective of network identification for dynamic systems is to identify
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8cd7431522aca58be866b6bf9d2f1d2
https://doi.org/10.1109/tac.2021.3093301
https://doi.org/10.1109/tac.2021.3093301
Complex networked systems can be modeled as graphs with nodes representing the agents and links describing the dynamic coupling between them. Previous work on network identification has shown that the network structure of linear time-invariant (LTI)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9179ecc8a353dbc860c1f741937a3d0a
http://arxiv.org/abs/2006.04690
http://arxiv.org/abs/2006.04690
Many complex engineering systems admit bidirectional and linear couplings between their agents. Blind and passive methods to identify such influence pathways/couplings from data are central to many applications. However, dynamically related data-stre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9e2f3231425f2cfd26d479095791bee
Publikováno v:
CDC
Modeling complex networked systems as graphs is prevalent, with nodes representing the agents and the links describing a notion of dynamic coupling between them. Passive methods to identify such influence pathways from data are central to many applic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c89777cb3707909bd9e6114ca768712
https://doi.org/10.1109/cdc40024.2019.9029971
https://doi.org/10.1109/cdc40024.2019.9029971
Publikováno v:
CDC
The structure of a complex networked system can be modeled as a graph with nodes representing the agents and the links describing a notion of dynamic coupling between them. Data-driven methods to identify such influence pathways is central to many ap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5f385b966321aa48bd41dc642ca0555
https://doi.org/10.1109/cdc.2018.8619472
https://doi.org/10.1109/cdc.2018.8619472
Publikováno v:
CDC
The interconnectivity structure of many complex systems can be modeled as a network of dynamically interacting processes. Identification of mutual dependencies amongst the agents is of primary importance in many application domains that include inter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::044a69c53cae980f31484010bb1438a5
https://doi.org/10.1109/cdc.2017.8263894
https://doi.org/10.1109/cdc.2017.8263894