Prof. Mazen Alamir

Gipsa-lab, Control Systems Deptartment
University of Grenoble, France. 

Prof. Mazen Alamir graduated in Mechanics (Grenoble, 1990) and Aeronautics (Toulouse, 1992). He received his Ph.D. in Nonlinear Model Predictive Control in 1995. Since 1996, he has been a CNRS research associate in the Control Systems Department of Gipsa-lab, Grenoble. His main research topics are model predictive control, receding horizon observers, nonlinear hybrid systems, predictive maintenance via Machine Learning, optimal cancer treatment as well as industrial applications. He is member of the IFAC technical committee on Nonlinear Systems and served as head of the ’’Nonlinear Systems and Complexity’’ research group of the Control Systems Department of Gipsa-lab, Grenoble.

Talk of prof. Mazen Alamir

MPC design under time shortage: lessons from case-studies.

Model predictive Control design involves a challenging race between algorithms encoded on a hardware and a living system that faces a dynamically changing and highly uncertain world. A successful outcome of this race depends on a set of design options and choices including, quite often, unavoidable drops in requirements level. This talk proposes a journey through some real-life case-studies in the domain of energy and mechatronics that help illustrating some of the key concepts and tools involved in this race. The main message of this talk might be that MPC design, despite of its attractive genericity, still requires an unavoidable set of problem- dependent choices. Whether this fact is a bad or a good news is an open question but the fact is there, and probably for a long time.