Brian Edward Jackson

Data-Efficient Model Learning for Control with Jacobian-Regularized Dynamic-Mode Decomposition

We present a data-efficient algorithm for learning models for model-predictive control (MPC). Our approach, Jacobian-Regularized Dynamic-Mode Decomposition (JDMD), offers improved sample efficiency over traditional Koopman approaches based on Dynamic-Mode Decomposition (DMD) by leveraging Jacobian i…