Vortrag im Kolloquium Technische Kybernetik
Reduced-Order Modeling and Control of Yeast Cell Populations in Continuous Biochemical Reactors
Prof. Michael A. Henson, Ph.D.
Time: Tuesday · 15. 1. 2002 · 16:00h
Place: Room V 9. 31 · Pfaffenwaldring 9 · Campus Stuttgart-Vaihingen
Biochemical reactors are essential unit operations in a wide variety of biotechnological processes. As compared to conventional chemical reactors, bioreactors present unique modeling and control challenges due to the complexity of the underlying biochemical reactions and the segregated nature of cell populations. The dynamic behavior of bioreactors can be strongly affected by variations between individual cells that are captured only with cell population models.
In this talk our recent work on dynamics and control of continuous yeast bioreactors described by cell population models is described. A yeast cell population model that includes a simple structured description of the extracellular environment is presented. A discretized version of this model is used to investigate the oscillatory dynamics of yeast cell populations. Reduced-order nonlinear models are derived from the full-order discretized model using a combination of proper orthogonal decomposition and Galerkin projection. The reduced-order models are compared to the full-order model according to their bifurcation behavior. The use of such reduced-order models for nonlinear predictive control of continuous yeast bioreactors is discussed.
Dr. Michael A. Henson is an Associate Professor of Chemical Engineering at Louisiana State University. He received his B.S. degree from the University of Colorado, M.S. degree from the University of Texas, and Ph.D. degree from the University of California, Santa Barbara, all in Chemical Engineering. After graduate school, he was a Visiting Scientist in the Strategic Process Technology Group (1992-1993) at DuPont. He joined Louisiana State University as an Assistant Professor in 1994. He was promoted to Associate Professor in 1999. He was named the James McLaurin Shivers Professor the same year.
His primary research interests are process modeling, dynamics and control with emphasis on nonlinear problems encountered in chemical and biochemical systems. He is the recipient of several awards including a Career Development Award from the National Science Foundation (1995) and the Cross-Holloway Award for Excellence in Research and Service from Louisiana State University (1998). He currently serves as an Associate Editor for the Journal of Process Control and Director of the CAST Division of AIChE.