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Einladung zum Vortrag im Kolloquium Technische Kybernetik

 Robust Optimal Control of Distributed Parameter Systems

Prof. Richard D. Braatz
Department of Chemical and Biomolecular Engineering
University of Illinois at Urbana-Champaign
Urbana, Illinois, USA



    Zeit: Mittwoch 22.04.2009 · 11:00 Uhr
    Ort: Seminarraum IST 3.243 · Pfaffenwaldring 9 · Campus Stuttgart-Vaihingen

Abstract

In this research, computationally efficient methods are proposed for the robust optimal control of distributed parameter systems (DPS), in which robustness is ensured regardless of whether (i) the DPS is approximated by ODEs before the design of a finite-dimensional controller, or (ii) an infinite-dimensional controller designed directly from the DPS is approximated by a finite-dimensional controller. Robustness will also be explicitly addressed for a model predictive control algorithm in which the controller has fixed on-line computational requirements regardless of the dimensionality of the finite-dimensional approximation of the DPS. A suite of control techniques will be demonstrated by application to boundary and spatial field control problems described by reaction-convection-diffusion equations.

Biographical Information

Richard D. Braatz is Professor and Millennium Chair at the University of Illinois at Urbana-Champaign where he does research in the modeling, design, and control of chemical, pharmaceutical, and biomedical systems. He received MS and PhD degrees from the California Institute of Technology. Richard has consulted and/or collaborated with 15 companies including IBM, UTC Power, Eli Lilly, and Abbott Laboratories. Honors include the AACC Donald P. Eckman Award, ASEE Curtis W. McGraw Research Award, IEEE TCST Outstanding Paper Award, Antonio Ruberti Young Researcher Prize, and AIChE Excellence in Process Development Research Award. He is a Fellow of the Institute of Electrical and Electronics Engineers, the International Federation of Automatic Control, and the American Association for the Advancement of Science.


Weitere Informationen:
Prof. Dr.-Ing. Frank Allgöwer · Institut für Systemtheorie und Regelungstechnik · 0711 685 67738 · allgower@ist.uni-stuttgart.de
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