GIANNINI, FRANCESCO

GIANNINI, FRANCESCO  

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Titolo Data di pubblicazione Autore(i) File
A Deep Q Learning-Model Predictive Control Approach to vehicle routing and control with platoon constraints 1-gen-2022 Giannini, Francesco; Fortino, Giancarlo; Franze', Giuseppe; Pupo, Francesco
A distributed reinforcement learning and model predictive control architecture for routing decisions in urban road networks 1-gen-2023 Giannini, F.; Fortino, G.; Franze', G.; Pupo, F.
A neural network and model predictive control based resilient architecture for constrained cyber-physical systems 1-gen-2023 D’Alfonso, Luigi; Franze', Giuseppe; Giannini, Francesco; Tedesco, Francesco
A set-theoretic receding horizon control based on a Q-learning approach for sustainability purposes 1-gen-2023 Giannini, F.; Franze', G.; Pupo, F.; Fortino, G.
A Sustainable Multi-Agent Routing Algorithm for Vehicle Platoons in Urban Networks 1-gen-2023 Giannini, Francesco; Franze, Giuseppe; Pupo, Francesco; Fortino, Giancarlo
Autonomous vehicle platoons in urban road networks: a joint distributed reinforcement learning and model predictive control approach In corso di stampa D’Alfonso, L.; Giannini, F.; Franze', G.; Fedele, G.; Pupo, F.; Fortino, G.
Autonomous Vehicles in Smart Cities: a Deep Reinforcement Learning Solution 1-gen-2022 Giannini, Francesco; Franze', Giuseppe; Pupo, Francesco; Fortino, Giancarlo
Path planning for vehicle platoons under routing decisions: a distributed approach combining deep reinforcement learning and model predictive control 1-gen-2022 Giannini, Francesco; Fortino, Giancarlo; Franze', Giuseppe; Pupo, Francesco
Set-theoretic receding horizon control for nonlinear systems: a data-driven approach 1-gen-2023 Giannini, Francesco; Franze, Giuseppe; Pupo, Francesco; Fortino, Giancarlo