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AMCS Colloquium

Friday, April 8, 2022 - 2:00pm

Lorenz T. Biegler

Carnegie Mellon University


University of Pennsylvania


Abstract: Model Predictive Control (MPC) is widely accepted in the process industries as a generic multivariable controller with constraint handling. More recently, MPC has been extended to Nonlinear Model Predictive Control (NMPC) in order to realize high-performance control of highly non- linear processes. In particular, NMPC allows incorporation of detailed process models (validated by off-line analysis) and also integrates with on-line optimization strategies consistent with higher-level tasks, such as scheduling and planning. NMPC for tracking and so-called “economic” stage costs have been developed,  and fundamental stability and robustness properties of NMPC have been analyzed. This talk provides an overview of NMPC and eNMPC concepts and approaches, as well as the underlying optimization strategies that support the solution strategies. In addition, some process case studies are presented to demonstrate the effectiveness of these approaches.

Speaker Bio: Lorenz T. (Larry) Biegler is the Covestro University Professor of Chemical Engineering at Carnegie Mellon University. His research interests lie in computer aided process engineering (CAPE) and include flowsheet optimization, optimization of systems of differential and algebraic equations, reactor network synthesis, nonlinear process control and real-time optimization. Contributions in these areas include analysis and development of nonlinear programming algorithms, optimization software design and application to real-world chemical processes and energy systems. 

He is an author on over 500 archival publications and two textbooks, has edited 11 technical books and given numerous invited presentations at national and international conferences. His awards include the Lewis Award, Walker Award and Computers in Chemical Engineering Award, given by AIChE; the Lectureship Award, Curtis McGraw Research Award and CACHE Computing Award, given by ASEE; the INFORMS Computing Prize, and an honorary doctorate in engineering sciences from the Technical University of Berlin.  He is a Fellow of AIChE, IFAC and SIAM, and a member of the National Academy of Engineering.