no code implementations • 23 Feb 2024 • Giacomo Albi, Sara Bicego, Michael Herty, YuYang Huang, Dante Kalise, Chiara Segala
The high-dimensional character of collective dynamics hampers the performance of traditional MPC algorithms based on fast online dynamic optimization at every time step.
no code implementations • 12 Feb 2024 • Dante Kalise, Estefanía Loayza-Romero, Kirsten A. Morris, Zhengang Zhong
Optimal actuator and control design is studied as a multi-level optimisation problem, where the actuator design is evaluated based on the performance of the associated optimal closed loop.
no code implementations • 19 Jul 2022 • Anastasia Borovykh, Dante Kalise, Alexis Laignelet, Panos Parpas
A deep learning approach for the approximation of the Hamilton-Jacobi-Bellman partial differential equation (HJB PDE) associated to the Nonlinear Quadratic Regulator (NLQR) problem.
no code implementations • 6 Mar 2021 • Giacomo Albi, Sara Bicego, Dante Kalise
A supervised learning approach for the solution of large-scale nonlinear stabilization problems is presented.
no code implementations • 26 Feb 2021 • Young-Pil Choi, Dante Kalise, Andrés A. Peters
A decentralized feedback controller for multi-agent systems, inspired by vehicle platooning, is proposed.
Optimization and Control Multiagent Systems Dynamical Systems Adaptation and Self-Organizing Systems
2 code implementations • 29 Jun 2020 • Ritabrata Dutta, Susana Gomes, Dante Kalise, Lorenzo Pacchiardi
A mathematical model for the COVID-19 pandemic spread in England is presented.
Applications Physics and Society Populations and Evolution
1 code implementation • 5 Aug 2019 • Sergey Dolgov, Dante Kalise, Karl Kunisch
For nonlinear dynamics, the effectiveness of the high-dimensional control synthesis method is assessed in the optimal feedback stabilization of the Allen-Cahn and Fokker-Planck equations with a hundred of variables.
Optimization and Control Numerical Analysis Numerical Analysis