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Computational techniques for the control of nonlinear sampled-data systems

Nowadays, modern controllers are usually implemented digitally. The sampled-data implementation of continuous time controllers can cause problems like performance loss and instability if the sampling rate cannot be made sufficiently small, e.g., because of hardware limitations, in which case a genuine sampled-data design is preferable. In this talk we address computational techniques for this purpose. We discuss how to avoid problems caused by using approximate discrete time models in the design and present different optimization based techniques for the sampled-data implementation of continuous time controllers.

Type of Seminar:
Symposium on Control and Computation
Prof. Lars Grüne
Bayreuth University, Germany
Jun 22, 2005   14:15

ETH-Zentrum, Gloriastrasse 35, Zurich, Room ETZ E6
Contact Person:

Prof. M. Morari
No downloadable files available.
Biographical Sketch:
Lars Grüne has been Professor for Applied Mathematics at the University of Bayreuth, Germany, since 2002. He received his Diploma and PhD in Mathematics in 1994 and 1996, respectively, from the University of Augsburg and his Habilitation from the J.W.~Goethe University in Frankfurt/M in 2001. He held several visiting positions, including a guest professorship at the University Paris IX - Dauphine in 2004, a visit at the University of Melbourne in 2001 and a one year research visit at the University La Sapienza in Rome 1998-1999 supported by a DFG research grant. His research interests lie in the area of mathematical control theory, in particular on numerical and optimization based methods for stability analysis and stabilization of nonlinear systems.