Stefano Marelli

Orcid: 0000-0002-9268-9014

According to our database1, Stefano Marelli authored at least 24 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Efficient Bayesian travel-time tomography with geologically-complex priors using sensitivity-informed polynomial chaos expansion and deep generative networks.
CoRR, 2023

Emulating the dynamics of complex systems using autoregressive models on manifolds (mNARX).
CoRR, 2023

2022
A spectral surrogate model for stochastic simulators computed from trajectory samples.
CoRR, 2022

2021
Model-Based Estimation of Lithium Concentrations and Temperature in Batteries Using Soft-Constrained Dual Unscented Kalman Filtering.
IEEE Trans. Control. Syst. Technol., 2021

Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark.
SIAM/ASA J. Uncertain. Quantification, 2021

Bayesian model inversion using stochastic spectral embedding.
J. Comput. Phys., 2021

Global sensitivity analysis using derivative-based sparse Poincaré chaos expansions.
CoRR, 2021

Rare event estimation using stochastic spectral embedding.
CoRR, 2021

Development of a device to impose medio-lateral whole-body vibration while walking.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2021

2020
Sparse Polynomial Chaos Expansions: Solvers, Basis Adaptivity and Meta-selection.
CoRR, 2020

Test bench for the measurement of scissors' cutting torque.
Proceedings of the 2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2020

Compensation of Temperature Effects on an Automatic System for Diameter Measurement.
Proceedings of the 2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2020

2019
Analysis and development of electrochemical model-based state estimation algorithms for Li-ion batteries.
PhD thesis, 2019

Predictive Cylinder Deactivation Control for Large Displacement Automotive Engines.
IEEE Trans. Veh. Technol., 2019

Data-driven polynomial chaos expansion for machine learning regression.
J. Comput. Phys., 2019

Probabilistic robust design of control systems for high-fidelity cyber-physical testing.
Autom., 2019

2018
Extending classical surrogate modelling to ultrahigh dimensional problems through supervised dimensionality reduction: a data-driven approach.
CoRR, 2018

A mass-preserving Sliding Mode Observer for Li-ion cells electrochemical model.
Proceedings of the 16th European Control Conference, 2018

2017
Determining Rice Growth Stage with X-Band SAR: A Metamodel Based Inversion.
Remote. Sens., 2017

Sequential Design of Experiment for Sparse Polynomial Chaos Expansions.
SIAM/ASA J. Uncertain. Quantification, 2017

Control-oriented coupled electrochemical thermal model for Li-Ion batteries.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

A soft-constrained unscented Kalman filter estimator for Li-ion cells electrochemical model.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2015
Global sensitivity analysis of a morphology based electromagnetic scattering model.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Battery Health Management System for Automotive Applications: A retroactivity-based aging propagation study.
Proceedings of the American Control Conference, 2015


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