The MPC research lab focuses on the theoretical and real-time implementation aspects of constrained predictive model-based control. They deal with linear, nonlinear and hybrid systems in both small scale and complex large scale applications. Their contributions include the discovery of fundamental theoretical results, the development of novel control algorithms and their experimental validation carried out with the help of coworkers from industries and universities. They deal with a wide range of systems in the automotive field, in the process industries and in robotics, including several full scale industrial problems.
Research Expertise and Interest
automotive control systems, distributed and robust constrained control, manufacturing control systems, energy efficient buildings, model predictive control.