Zobrazeno 1 - 10
of 96
pro vyhledávání: '"Domenico Famularo"'
Autor:
Francesco Giannini, Domenico Famularo
Publikováno v:
Information, Vol 15, Iss 7, p 369 (2024)
In this paper, we present a data-driven model predictive control (DDMPC) framework specifically designed for constrained single-input single-output (SISO) nonlinear systems. Our approach involves customizing a set-theoretic receding horizon controlle
Externí odkaz:
https://doaj.org/article/7f9fd8d06adf4aa1965d33e1c1288751
Publikováno v:
International Journal of Robust and Nonlinear Control. 32:6395-6411
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07e631ba5761921550df25104a1e1764
https://doi.org/10.1002/rnc.6148
https://doi.org/10.1002/rnc.6148
Publikováno v:
Journal of the Franklin Institute. 359:1692-1712
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::782a24f7fa944837b8de343c8c38592f
https://doi.org/10.1016/j.jfranklin.2021.11.014
https://doi.org/10.1016/j.jfranklin.2021.11.014
Publikováno v:
Automatica. 152:110957
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b9ba60542bf214dd74fb3fe55cd4aeb
https://doi.org/10.1016/j.automatica.2023.110957
https://doi.org/10.1016/j.automatica.2023.110957
Publikováno v:
2022 European Control Conference (ECC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a7d931636da58e7c628ed90caf9368e
https://doi.org/10.23919/ecc55457.2022.9838129
https://doi.org/10.23919/ecc55457.2022.9838129
Publikováno v:
Discrete Event Dynamic Systems. 31:469-488
In this paper, the intelligent traffic management within a smart city environment is addressed by developing an ad-hoc model predictive control strategy based on an event-driven formulation. To this end, a constrained hybrid system description is con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca625d572aadee8b6b5a7985ce1ee6ce
https://doi.org/10.1007/s10626-020-00337-7
https://doi.org/10.1007/s10626-020-00337-7
Publikováno v:
IEEE/CAA Journal of Automatica Sinica. 8:628-640
In this paper, a resilient distributed control scheme against replay attacks for multi-agent networked systems subject to input and state constraints is proposed. The methodological starting point relies on a smart use of predictive arguments with a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59d5a549ef1880b0289a8dcac44b880e
https://doi.org/10.1109/jas.2020.1003542
https://doi.org/10.1109/jas.2020.1003542
Publikováno v:
IEEE/CAA Journal of Automatica Sinica. :1-11
Multi-agent systems are usually equipped with open communication infrastructures to improve interactions efficiency, reliability and sustainability. Although technologically cost-effective, this makes them vulnerable to cyber-attacks with potentially
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13eb0bef21c1b8673f0bd6886f352eb6
https://doi.org/10.1109/jas.2020.1003189
https://doi.org/10.1109/jas.2020.1003189
Publikováno v:
2021 IEEE International Conference on Autonomous Systems (ICAS).
In this paper, a resilient distributed control scheme against covert attacks for constrained multi-agent networked systems is developed. The idea consists in an adequate deployment of predictive arguments with a twofold aim: detection of malicious ag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96d1337110cb12c57b35bf72b75e2ad1
https://doi.org/10.1109/icas49788.2021.9551194
https://doi.org/10.1109/icas49788.2021.9551194
Publikováno v:
CCTA
Predictive control presents an intrinsic capability to mitigate faulty events that can be achieved by properly defining operational constraints and/or running costs. Within this context this work presents a model predictive control (MPC) approach to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23024c4fe9589fad2accac1c5340d9b0
https://doi.org/10.1109/ccta41146.2020.9206379
https://doi.org/10.1109/ccta41146.2020.9206379