"Robust Optimal Control of Finite-time Distributed Parameter Systems
"
Prof. Richard D. Braatz, Millennium Chair
University of Illinois at Urbana-Champaign, US,
braatz@uiuc.edu,
http://brahms.scs.uiuc.edu
abstract:
Most products of high value such as in the pharmaceuticals, microelectronic,
and nanotechnology industries are manufactured in a series of processing steps
that operate over finite time. These processes are usually distributed
parameter systems in which tight control is required. Computationally efficient
methods are proposed for the robust optimal control of finite-time distributed
parameter systems (DPS), in which robustness is ensured for either
deterministic or stochastic parametric uncertainties. In the deterministic
case, the effects of uncertainties on the states and product quality are
quantified by power series expansions combined with linear matrix inequality or
structured singular value analysis. In the stochastic case, the effects of
uncertainties are quantified by power series or polynomial chaos expansions
followed by Monte Carlo simulation. The robust performance analysis have been
incorporated into fixed or model predictive control algorithms. The approaches
are illustrated for several applications problems.
short bio:
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, and
Antonio Ruberti Young Researcher Prize. 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.
