A negative yarn-feeder simulator for control benchmarking in textile applications
Davide Previtali, Nicholas Valceschini, Antonio Russo, Fabio Previdi
0 citations
Control Engineering Practice
Davide Previtali
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12Publications signalées
18Citations signalées
1Affiliations récentes
Les institutions déclarées
Les domaines associés
Model Reduction and Neural NetworksDiabetes Management and ResearchAdversarial Robustness in Machine LearningMachine Learning and ELMAdvancements in Battery Materials
Les publications récentes
Meta-Learning in Biologically Informed Recurrent Neural Networks for Personalized System Identification of Glucose--Insulin Dynamics
Stefano De Carli, Nicola Licini, Francesco Corrini, Davide Previtali et autres
it (code pays fourni par la source)
0 citations
IEEE Transactions on Control Systems Technology
Stability properties of Minimal Gated Unit neural networks
Stefano De Carli, Davide Previtali, Mirko Mazzoleni, Fabio Previdi
0 citations
Aisberg (University of Bergamo)
Stability properties of Minimal Gated Unit neural networks
Stefano De Carli, Davide Previtali, Mirko Mazzoleni, Fabio Previdi
it (code pays fourni par la source)
0 citations
arXiv (Cornell University)
Chaos-Free Networks Are Stable Recurrent Neural Networks
Stefano De Carli, Davide Previtali, Mirko Mazzoleni, Fabio Previdi
it (code pays fourni par la source)
0 citations
IEEE Control Systems Letters
Stable Compartmental Recurrent Neural Networks for Glucose–Insulin Dynamics Modeling in the Artificial Pancreas Framework
Stefano De Carli, Nicola Licini, Davide Previtali, Fabio Previdi et autres
it (code pays fourni par la source)
0 citations
IEEE Control Systems Letters
Optimal calibration of Kalman filters for state of charge estimation of lithium-ion cells
Davide Previtali, Fabio Previdi
7 citations
Journal of Energy Storage
Are Artificial Neural Networks suitable for data-driven moment matching?
Matteo Scandella, Davide Previtali, Alessio Moreschini
it, gb (code pays fourni par la source)
1 citation
European Journal of Control
Optimizing industrial oven temperature uniformity: A model predictive control framework with rapid control prototyping
Leandro Pitturelli, Davide Previtali, Fabio Previdi, Antonio Ferramosca
it (code pays fourni par la source)
2 citations
Control Engineering Practice
Integrating Biological-Informed Recurrent Neural Networks for Glucose-Insulin Dynamics Modeling
Stefano De Carli, Nicola Licini, Davide Previtali, Fabio Previdi et autres
it (code pays fourni par la source)
4 citations
IFAC-PapersOnLine
GLISp-r: a preference-based optimization algorithm with convergence guarantees
Davide Previtali, Mirko Mazzoleni, Antonio Ferramosca, Fabio Previdi
it (code pays fourni par la source)
2 citations
Computational Optimization and Applications
Identification of dynamic textures using Dynamic Mode Decomposition
Davide Previtali, Nicholas Valceschini, Mirko Mazzoleni, Fabio Previdi
it (code pays fourni par la source)
2 citations
IFAC-PapersOnLine
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