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An optimization-based approach to Hybrid systems

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Abstract:
Hybrid systems describe processes where continuous dynamics, finite state machines, and logic rules coexist and are interdependent. A typical instance are real-time systems, where physical processes are regulated by embedded controllers. In this talk we describe the class of Mixed Logical Dynamical (MLD) models for hybrid systems, and illustrate a system theoretical framework for controller synthesis, state estimation and fault detection, verification and reachability analysis, observability analysis. Such a framework has been developed so that these problems can be efficiently solved algorithmically, by using techniques based on linear, mixed-integer, and multiparametric programming. Examples of application include the control of a gas supply system and the verification of an automotive suspension system.

http://control.ethz.ch/~bemporad/dsi/research.html
Type of Seminar:
Public Seminar
Speaker:
Dr. Alberto Bemporad
Automatic Control Lab Dept. of Electrical Engineering Physikstrasse 3 CH-8092 Zürich
Date/Time:
Jan 26, 2000   17:15
Location:

ETH-Zentrum, ETZ E6, Gloriastrasse 35, 8006 Zuerich
Contact Person:

Prof. M. Morari
No downloadable files available.
Biographical Sketch:
Dr. Alberto Bemporad was born in Florence, Italy, in 1970. He received the MS degree in electrical engineering in 1993 and the PhD in Systems Science in 1997 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 holding a postdoctoral position at the Automatic Control Lab, ETH, Zurich, Switzerland. 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 model predictive control, hybrid systems, and robotics. He is also working on the new version of the Model Predictive Control Toolbox for Matlab.