Abstract: This paper presents a novel robust trajectory optimization method for constrained nonlinear dynamical systems subject to unknown bounded disturbances. In particular, we seek optimal control ...

Abstract: Well-established nonlinear control methods often rely on mathematical models that can be imprecise or uncertain. Classical robust control techniques address this by designing conservative ...

We have considerable expertise in MPC as a powerful tool for providing optimal control in dynamic environments, ensuring real-time performance and adaptability. Our work includes developing predictive ...

Case School of Engineering’s projects focus on multi-motor systems, quantitative robust control methodologies, high precision tracking and more. For example, our researchers are working to advance and ...