Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Falugi, Paola"'
The necessary decarbonization efforts in energy sectors entail the integration of flexibility assets, as well as increased levels of uncertainty for the planning and operation of power systems. To cope with this in a cost-effective manner, transmissi
Externí odkaz:
http://arxiv.org/abs/2304.07534
Existing methods for nonlinear robust control often use scenario-based approaches to formulate the control problem as large nonlinear optimization problems. The optimization problems are challenging to solve due to their size, especially if the contr
Externí odkaz:
http://arxiv.org/abs/2303.08540
Autor:
Nita, Lucian, Vila, Eduardo M. G., Zagorowska, Marta A., Kerrigan, Eric C., Nie, Yuanbo, McInerney, Ian, Falugi, Paola
Publikováno v:
Proc. 20th European Control Conference (ECC 2022)
Introducing flexibility in the time-discretisation mesh can improve convergence and computational time when solving differential equations numerically, particularly when the solutions are discontinuous, as commonly found in control problems with cons
Externí odkaz:
http://arxiv.org/abs/2205.08613
Existing methods for nonlinear robust control often use scenario-based approaches to formulate the control problem as nonlinear optimization problems. Increasing the number of scenarios improves robustness, while increasing the size of the optimizati
Externí odkaz:
http://arxiv.org/abs/2204.14145
Publikováno v:
In Electric Power Systems Research December 2024 237
Publikováno v:
IEEE Transactions on Control Systems Technology 2022
A class of data-driven control methods has recently emerged based on Willems' fundamental lemma. Such methods can ease the modelling burden in control design but can be sensitive to disturbances acting on the system under control. In this paper, we p
Externí odkaz:
http://arxiv.org/abs/2108.10753
Publikováno v:
In Applied Energy 1 March 2020 261
Publikováno v:
International Journal of Robust & Nonlinear Control; 1/25/2024, Vol. 34 Issue 2, p1370-1396, 27p
Existing methods for nonlinear robust control often use scenario-based approaches to formulate the control problem as nonlinear optimization problems. Increasing the num- ber of scenarios improves robustness, while increasing the size of the optimiza
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f65632471cacc41e190998d97899fc9f
https://hdl.handle.net/20.500.11850/615618
https://hdl.handle.net/20.500.11850/615618
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