Zobrazeno 1 - 10
of 134
pro vyhledávání: '"Sandro Zampieri"'
Autor:
Danilo Benozzo, Giacomo Baggio, Giorgia Baron, Alessandro Chiuso, Sandro Zampieri, Alessandra Bertoldo
Publikováno v:
Harvard Data Science Review, Vol 8, Iss 3 (2024)
Externí odkaz:
https://doaj.org/article/a201be7830e343119ad97644ffacb3eb
Publikováno v:
Annual Review of Control, Robotics, and Autonomous Systems. 5:465-489
Understanding the fundamental principles and limitations of controlling complex networks is of paramount importance across natural, social, and engineering sciences. The classic notion of controllability does not capture the effort needed to control
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e60ffea28b2a9528794057934260292b
https://doi.org/10.1146/annurev-control-042920-014957
https://doi.org/10.1146/annurev-control-042920-014957
Autor:
Sandro Zampieri, Giacomo Baggio
Publikováno v:
IEEE Transactions on Control of Network Systems. 8:1846-1858
In this paper, we propose a new measure of communication performance of linear network systems, the information gain, and we show that this measure is strongly affected by the degree of non-normality of the networks adjacency matrix. Specifically, we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13860536ddc9c865b8b68607ec85e890
https://doi.org/10.1109/tcns.2021.3088795
https://doi.org/10.1109/tcns.2021.3088795
Publikováno v:
ACC
Traditionally, electrical power was generated in big power plants. The cost of producing energy was related to the cost of fuel, e.g., carbon or gas, and by the cost of maintaining the power plants. With the advent of distributed energy resources, po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::edc0f3847f435f1f9ce3e68dbcf469ca
http://hdl.handle.net/11577/3370420
http://hdl.handle.net/11577/3370420
Publikováno v:
IEEE Transactions on Control of Network Systems
IEEE Transactions on Control of Network Systems, In press, ⟨10.1109/TCNS.2020.3000694⟩
IEEE Transactions on Control of Network Systems, IEEE, In press, ⟨10.1109/TCNS.2020.3000694⟩
IEEE Transactions on Control of Network Systems, In press, ⟨10.1109/TCNS.2020.3000694⟩
IEEE Transactions on Control of Network Systems, IEEE, In press, ⟨10.1109/TCNS.2020.3000694⟩
International audience; In this paper we consider the problem of determining the control energy for large-scale networks. Instead of controlling all the nodes of the network, we are interested in driving the value of some outputs to the desired value
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9886bab69951f4c62cd0cc75f290af1d
http://hdl.handle.net/11577/3342245
http://hdl.handle.net/11577/3342245
Publikováno v:
Annual Reviews in Control. 44:116-128
In this work we review a class of deterministic nonlinear models for the propagation of infectious diseases over contact networks with strongly-connected topologies. We consider network models for Susceptible-Infected (SI), Susceptible-Infected-Susce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd4d9c98b2a3512bed37044868eb827b
https://doi.org/10.1016/j.arcontrol.2017.09.002
https://doi.org/10.1016/j.arcontrol.2017.09.002
Publikováno v:
ECC
Understanding the fundamental mechanisms enabling fast and reliable communication in the brain is one of the outstanding key challenges in neuroscience. In this work, we address this problem from a systems and information theoretic perspective. Speci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::590f2ddc599c10b95221676975b3280c
https://doi.org/10.23919/ecc.2019.8795737
https://doi.org/10.23919/ecc.2019.8795737
Publikováno v:
Scientific Reports
Scientific Reports, Vol 10, Iss 1, Pp 1-9 (2020)
Scientific Reports, Vol 10, Iss 1, Pp 1-9 (2020)
While numerous studies have suggested that large natural, biological, social, and technological networks are fragile, convincing theories are still lacking to explain why natural evolution and human design have failed to optimize networks and avoid f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77e8cd3b139c3b8be3b326f9960a654d
https://pubmed.ncbi.nlm.nih.gov/32019963
https://pubmed.ncbi.nlm.nih.gov/32019963