Marco Molinari

Orcid: 0000-0002-2300-2581

Affiliations:
  • KTH Royal Institute of Technology, Department of Energy Technology, Stockholm, Sweden (PhD 2012)


According to our database1, Marco Molinari authored at least 14 papers between 2013 and 2024.

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Bibliography

2024
Robust Data-Driven Tube-Based Zonotopic Predictive Control with Closed-Loop Guarantees.
Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023
Robust data-driven predictive control of unknown nonlinear systems using reachability analysis.
Eur. J. Control, November, 2023

Social interactions for a sustainable lifestyle: The design of an experimental case study.
CoRR, 2023

What influences occupants' behavior in residential buildings: An experimental study on window operation in the KTH Live-In Lab.
Proceedings of the IEEE Conference on Control Technology and Applications, 2023

2021
Data-Driven Control and Data-Poisoning attacks in Buildings: the KTH Live-In Lab case study.
Proceedings of the 29th Mediterranean Conference on Control and Automation, 2021

2020
Bounding Privacy Leakage in Smart Buildings.
CoRR, 2020

Maximizing Privacy in MIMO Cyber-Physical Systems Using the Chapman-Robbins Bound.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Ensuring Privacy of Occupancy Changes in Smart Buildings.
Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020

2017
On the modeling of neural cognition for social network applications.
Proceedings of the IEEE Conference on Control Technology and Applications, 2017

2015
A benchmark for data-based office modeling: challenges related to CO$_2$ dynamics.
CoRR, 2015

Multi-room occupancy estimation through adaptive gray-box models.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014
Control of HVAC systems via scenario-based explicit MPC.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013
Randomized Model Predictive Control for HVAC Systems.
Proceedings of the BuildSys 2013, 2013

A scenario-based predictive control approach to building HVAC management systems.
Proceedings of the 2013 IEEE International Conference on Automation Science and Engineering, 2013


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