Ivan Dario Jimenez Rodriguez Rodriguez

KALIKO: Kalman-Implicit Koopman Operator Learning for Prediction of Nonlinear Dynamical Systems

Long-horizon dynamical prediction is fundamental in robotics and control, underpinning canonical methods like model predictive control. Yet, many systems and disturbance phenomena are difficult to model due to effects like nonlinearity, chaos, and high-dimensionality. Koopman theory addresses this b…