Koopman operator theory has proven to be a promising approach to nonlinear system
identification and global linearization. For nearly a century, there had been no efficient …

This paper proposes the Koopman operator-based model identification and control method
for a lane-keeping system. The Koopman operator is a linear mapping that can capture …

In this brief, we propose a predictive algorithm for direct yaw moment control (DYC) in which
a vehicle model is identified by a finite-dimensional approximation of the Koopman operator …

This paper introduces a method for data-driven control based on the Koopman operator
model predictive control. Unlike exiting approaches, the method does not require a …

This paper proposes Koopman operator-based Stochastic Model Predictive Control (K-
SMPC) for enhanced lateral control of autonomous vehicles. The Koopman operator is a …

This dissertation presents the development and applications of Koopman operator theory for
solving system identification and prediction problems in the domain of vehicular systems …