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Robust Optimal Control of Distributed Parameter Systems

In this research, computationally efficient methods are proposed for the 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. The talk will provide an overview of deterministic and stochastic robustness analysis for linear DPS and finite-time nonlinear DPS based on H-infinity operators, polynomial chaos, and power series expansions. A suite of control techniques will be demonstrated by application to boundary and spatial field control problems described by reaction-convection-diffusion equations.

Type of Seminar:
Public Seminar
Prof. Richard D. Braatz
University of Illinois at Urbana-Champaign
Apr 20, 2009   10:15 /

ETH Zentrum, Building ETZ, Room E 6
Contact Person:

Prof. M.Mazzotti
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Biographical Sketch:
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, Antonio Ruberti Young Researcher Prize, and IEEE TCST Outstanding Paper 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.