662 citations
- Institute for Complex SystemsIT12 papers
- University of FlorenceIT8 papers
- Boston UniversityUS6 papers
- KU LeuvenBE5 papers
- Sapienza University of RomeIT5 papers
- London Institute for Mathematical SciencesGB4 papers
- University of TrentoIT4 papers
- Yeshiva UniversityUS4 papers
- Centre National de la Recherche ScientifiqueFR3 papers
- European Centre for Living TechnologyIT3 papers
- Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo"IT3 papers
- National Research CouncilLK3 papers
6 papers · 1 filter
Specification-Guided Critical Scenario Identification for Automated Driving
Adam Molin, Edgar A. Aguilar, Dejan Ničković +3
To test automated driving systems, we present a case study for finding critical scenarios in driving environments guided by formal specifications. To that aim, we devise a framewor…
Performance-oriented model learning for data-driven MPC design
Dario Piga, Marco Forgione, Simone Formentin +1
Model Predictive Control (MPC) is an enabling technology in applications requiring controlling physical processes in an optimized way under constraints on inputs and outputs. Howev…
Uncertainty-aware demand management of water distribution networks in deregulated energy markets
Pantelis Sopasakis, Ajay K. Sampathirao, Alberto Bemporad +1
We present an open-source solution for the operational control of drinking water distribution networks which accounts for the inherent uncertainty in water demand and electricity p…
Stochastic economic model predictive control for Markovian switching systems
Pantelis Sopasakis, Domagoj Herceg, Panagiotis Patrinos +1
The optimization of process economics within the model predictive control (MPC) formulation has given rise to a new control paradigm known as economic MPC (EMPC). Several authors h…
Fixed-Point Constrained Model Predictive Control of Spacecraft Attitude
Alberto Guiggiani, Ilya Kolmanovsky, Panagiotis Patrinos +1
The paper develops a Model Predictive Controller for constrained control of spacecraft attitude with reaction wheel actuators. The controller exploits a special formulation of the…
Douglas-Rachford Splitting: Complexity Estimates and Accelerated Variants
Panagiotis Patrinos, Lorenzo Stella, Alberto Bemporad
We propose a new approach for analyzing convergence of the Douglas-Rachford splitting method for solving convex composite optimization problems. The approach is based on a continuo…