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eess.SY2026
Koopman-based NMPC for Virtually Coupled Train Control System
Yiwen Zhang, Lorenzo Calogero, Shukai Li +2
This paper investigates an analytical Koopman-based nonlinear model predictive control (K-NMPC) approach for tracking control of virtually coupled train systems. A nonlinear train…
eess.SY2025★ 1 cited
Reinforcement Learning Based Prediction of PID Controller Gains for Quadrotor UAVs
Serhat Sönmez, Luca Montecchio, Simone Martini +4
A reinforcement learning (RL) based methodology is proposed and implemented for online fine-tuning of PID controller gains, thus, improving quadrotor effective and accurate traject…