AI RESEARCH
T2S-MPC: Time-Embedded Online Adaptive Model Predictive Control for Time-Varying Dynamics
arXiv CS.LG
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ArXi:2605.24852v1 Announce Type: new Recent advances in learning-based model predictive control (MPC) have leveraged neural networks for online model learning, achieving strong performance when nonstationary system dynamics deviate from nominal models. However, existing approaches primarily address specific or relatively structured forms of dynamical variation, leaving general, unknown, and unpredictable time-varying dynamics insufficiently handled.