Zobrazeno 1 - 10
of 160
pro vyhledávání: '"Giancarlo Ferrari Trecate"'
Publikováno v:
IEEE Open Journal of Control Systems, Vol 3, Pp 342-357 (2024)
The growing scale and complexity of safety-critical control systems underscore the need to evolve current control architectures aiming for the unparalleled performances achievable through state-of-the-art optimization and machine learning algorithms.
Externí odkaz:
https://doaj.org/article/71bd8993ce954cd19a7aa25a2ed76f9d
Publikováno v:
IEEE Transactions on Automatic Control. 68:3155-3162
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e0497aa3041d7a73ae002697e3977da
https://doi.org/10.1109/tac.2023.3239430
https://doi.org/10.1109/tac.2023.3239430
Autor:
Jean-Sebastien Brouillon, Emanuele Fabbiani, Pulkit Nahata, Keith Moffat, Florian Dorfler, Giancarlo Ferrari-Trecate
Publikováno v:
IEEE Transactions on Smart Grid, 14 (2)
The increasing integration of renewable energy requires a good model of the existing power distribution infrastructure, represented by its admittance matrix. However, a reliable estimate may either be missing or quickly become obsolete, as distributi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ecf4fa1684a216c17b714b2976eb57b
https://doi.org/10.1109/tsg.2022.3211546
https://doi.org/10.1109/tsg.2022.3211546
Publikováno v:
IEEE Control Systems Letters. 7:145-150
Deep neural networks can be fragile and sensitive to small input perturbations that might cause a significant change in the output. In this letter, we employ contraction theory to improve the robustness of neural ODEs (NODEs). A dynamical system is c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4322c09db76aa3dd6d344e4d9dea69b3
https://doi.org/10.1109/lcsys.2022.3186959
https://doi.org/10.1109/lcsys.2022.3186959
Publikováno v:
IEEE Transactions on Automatic Control. 68:556-563
In this technical note we analyse the performance improvement and optimality properties of the Learning Model Predictive Control (LMPC) strategy for linear deterministic systems. The LMPC framework is a policy iteration scheme where closed-loop traje
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed60394ef243aa2071118e55b2965c31
https://doi.org/10.1109/tac.2022.3148227
https://doi.org/10.1109/tac.2022.3148227
Publikováno v:
IEEE Transactions on Control Systems Technology. 30:1668-1680
In this work, we present a novel consensus-based secondary control scheme for current sharing and voltage balancing in DC microgrids, composed of distributed generation units, dynamic RLC lines, and nonlinear ZIE (constant impedance, constant current
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1bc815dccb38e2a2fe44152815fcdbc6
https://doi.org/10.1109/tcst.2021.3120321
https://doi.org/10.1109/tcst.2021.3120321
Publikováno v:
IEEE Transactions on Control of Network Systems. 9:403-414
Consensusability of multi-agent systems (MASs) certifies the existence of a distributed controller capable of driving the states of each subsystem to a consensus value. We study the consensusability of linear interconnected MASs (LIMASs) where, as in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::786a607f9a2a712dd693e580b7c1ac88
https://doi.org/10.1109/tcns.2021.3106446
https://doi.org/10.1109/tcns.2021.3106446
Publikováno v:
2022 European Control Conference (ECC).
In the analysis and control of discrete-time linear time-invariant systems, the spectral radius of the system state matrix plays an essential role. Usually, it is assumed that system matrices are known, from which the spectral radius can be directly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cabc68a00e0051f2230db69f015b2834
https://doi.org/10.23919/ecc55457.2022.9838044
https://doi.org/10.23919/ecc55457.2022.9838044
Autor:
Artémis Llamosi, Andres M Gonzalez-Vargas, Cristian Versari, Eugenio Cinquemani, Giancarlo Ferrari-Trecate, Pascal Hersen, Gregory Batt
Publikováno v:
PLoS Computational Biology, Vol 12, Iss 2, p e1004706 (2016)
Significant cell-to-cell heterogeneity is ubiquitously observed in isogenic cell populations. Consequently, parameters of models of intracellular processes, usually fitted to population-averaged data, should rather be fitted to individual cells to ob
Externí odkaz:
https://doaj.org/article/e1b73a35ea7c40c296bf17a23fd25693
The ever increasing penetration of Renewable Energy Resources (RESs) in power distribution networks has brought, among others, the challenge of maintaining the grid voltages within the secure region. Employing droop voltage regulators on the RES inve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc6cc414b9e0b68bdbcb0a9338839437
