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Hybrid systems: A mixed-integer approach

Hybrid models describe systems where continuous and logical variables evolve interdependently. A typical instance are real-time systems, where physical processes are regulated by embedded controllers. In this talk we focus on discrete-time hybrid models, for which we developed a state-space approach based on real and binary variables. We show that such a framework allows to efficiently solve problems of control, state estimation/fault detection, and verification, by using techniques based on mixed-integer and multiparametric programming. In particular, we present a general technique for synthesizing stabilizing piecewise linear controllers for hybrid systems.
Type of Seminar:
Minisymposium on Analysis and Control of Dynamical Systems
Dr. Alberto Bemporad
Automatic Control Lab. Physikstrasse 3 CH-8092 Zurich
Dec 19, 2000   09:15

ETH Zentrum, Building VAW, Room B1, Gloriastrasse 37-39, 8006 Zurich
Contact Person:

Prof. M. Morari
No downloadable files available.
Biographical Sketch:
Alberto Bemporad was born in Florence, Italy, in 1970. He received the MS degree in Electrical Engineering in 1993 and the Ph.D. in Control Engineering in 1997, both from the University of Florence, Italy. He spent the academic year 1996/97 at the Center for Robotics and Automation, Dept. Systems Science & Mathemathics, Washington University, St. Louis, as a visiting researcher. Since 1997 he is with the Automatic Control Laboratory, ETH, Zurich, where he is currently a senior researcher (oberassistant). He received the IEEE Centre and South Italy section ``G. Barzilai'' and the AEI (Italian Electrical Association) ``R. Mariani'' best graduate awards. He has published papers in the area of hybrid systems, model predictive control, and robotics, and is involved in the development of the Model Predictive Control Toolbox for Matlab.