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Listar por autor "Mammarella, Martina"
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Ponencia
A probabilistic validation approach for penalty function design in stochastic model predictive control
Mammarella, Martina; Alamo, Teodoro; Lucía, Sergio; Dabbene, Fabrizio (Elsevier B.V., 2020)In this paper, we consider a stochastic Model Predictive Control able to account for effects of additive stochastic ...
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Artículo
Chance-constrained sets approximation: A probabilistic scaling approach
Mammarella, Martina; Mirasierra Calleja, Victor; Lorenzen, Matthias; Alamo, Teodoro; Dabbene, Fabrizio (Elsevier, 2022-03)In this paper, a sample-based procedure for obtaining simple and computable approximations of chance-constrained sets is ...
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Ponencia
Computationally efficient stochastic MPC: A probabilistic scaling approach
Mammarella, Martina; Alamo, Teodoro; Dabbene, Fabrizio; Lorenzen, Matthias (Institute of Electrical and Electronics Engineers. IEEE, 2020-09)In recent years, the increasing interest in Stochastic model predictive control (SMPC) schemes has highlighted the limitation ...
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Artículo
Covid-19: Open-Data Resources for Monitoring, Modeling, and Forecasting the Epidemic
Alamo, Teodoro; Gutiérrez Reina, Daniel; Mammarella, Martina; Abella, Alberto (MDPI AG, 2020-05)We provide an insight into the open-data resources pertinent to the study of the spread of the Covid-19 pandemic and its ...