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

Brian Edward Jackson, Jeong Hun Lee, Kevin Tracy, Zachary Manchester

Abstract: 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...