Bilinear Mamba-Koopman Neural MPC for Varying Dynamics
The Bilinear Mamba-Koopman Neural MPC extends existing models by adding control-dependent coupling to latent dynamics. This adaptation allows the model to better match forecasting accuracy and provide robust closed-loop gains when system dynamics change over time. It achieves this with minimal parameter increase and uses an exact structure for efficient optimization.