Robust control analysis of nonlinear dynamic systems addresses the challenge of designing controllers that maintain desired performance and stability in the presence of uncertainties, external ...

The Takagi--Sugeno (T--S) fuzzy descriptor system offers a promising avenue for controlling non-linear systems but lacks optimal control strategies. Moreover, while robust control methods have been ...

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 ...

Learn to apply control systems in automotive, energy, aerospace, robotics, and manufacturing sectors. Apply feedback control laws to stabilize systems and achieve performance goals. Control systems ...

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 ...