Kaoru Yamamoto

Lifting-based nonlinear model predictive control for high-performance mobile robot tracking

Nonlinear model predictive control (NMPC) is widely used in robotics due to its ability to handle nonlinear dynamics and explicitly enforce state and input constraints by solving an optimal control problem online. However, standard NMPC implementations typically rely on direct time discretization and evaluate costs and...