2020 - Member of the National Academy of Engineering For contributions to process systems engineering and large-scale computations, and for national leadership in science/technology policy and management.
2013 - German National Academy of Sciences Leopoldina - Deutsche Akademie der Naturforscher Leopoldina – Nationale Akademie der Wissenschaften Engineering Sciences
2007 - Fellow of the International Federation of Automatic Control (IFAC)
His primary areas of investigation include Mathematical optimization, Process engineering, Optimization problem, Control theory and Distillation. His studies deal with areas such as Nonlinear programming and Robustness as well as Mathematical optimization. His studies in Process engineering integrate themes in fields like Scientific method, Extractive distillation, Biofuel and Conceptual design.
He combines subjects such as Robust optimization, Stochastic programming, Adaptive control, Nonlinear system and Wavelet with his study of Optimization problem. His Control theory research includes themes of Control, Type and Parametric statistics. His Distillation research integrates issues from Control engineering, Process design and Thermodynamics.
Wolfgang Marquardt mostly deals with Mathematical optimization, Control theory, Process, Nonlinear system and Process engineering. His study in Mathematical optimization is interdisciplinary in nature, drawing from both Discretization, Nonlinear programming and Applied mathematics. His Control theory research is multidisciplinary, incorporating perspectives in Parametric statistics and Model predictive control.
His biological study spans a wide range of topics, including Control engineering and Systems engineering. His research in Systems engineering intersects with topics in Design process and Chemical process. His Process engineering research incorporates themes from Distillation, Biofuel, Conceptual design and Scientific method.
His primary scientific interests are in Process engineering, Mathematical optimization, Biofuel, Process design and Biochemical engineering. His Process engineering study combines topics from a wide range of disciplines, such as Scientific method, Distillation and Conceptual design. His study focuses on the intersection of Conceptual design and fields such as Systems engineering with connections in the field of Chemical process.
His work in Mathematical optimization addresses subjects such as Control theory, which are connected to disciplines such as Parametric statistics. Process design is a primary field of his research addressed under Process. His work in Biochemical engineering addresses issues such as Combustion, which are connected to fields such as Biomass.
Wolfgang Marquardt spends much of his time researching Mathematical optimization, Process engineering, Optimization problem, Biofuel and Distillation. His Mathematical optimization research incorporates elements of Control variable, Control theory, Exponential stability, Set and Function. The concepts of his Control theory study are interwoven with issues in Robust optimization and Parametric statistics.
The study incorporates disciplines such as Pinch, Conceptual design, Simulation and Pinch point in addition to Process engineering. His research integrates issues of Stochastic optimization and Polymerization in his study of Optimization problem. His Distillation study integrates concerns from other disciplines, such as Control engineering and Constant.
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Selective and flexible transformation of biomass-derived platform chemicals by a multifunctional catalytic system
Frank M. A. Geilen;Barthel Engendahl;Andreas Harwardt;Wolfgang Marquardt.
Angewandte Chemie (2010)
Introduction to Model Based Optimization of Chemical Processes on Moving Horizons
Thomas Binder;Luise Blank;H. Georg Bock;Roland Bulirsch.
Separation of butanol from acetone–butanol–ethanol fermentation by a hybrid extraction–distillation process
Korbinian Kraemer;Andreas Harwardt;Rob Bronneberg;Wolfgang Marquardt.
Computers & Chemical Engineering (2011)
Trends in computer-aided process modeling
Computers & Chemical Engineering (1996)
An ontology-based approach to knowledge management in design processes
Sebastian C. Brandt;Jan Morbach;Michalis Miatidis;Manfred Theißen.
Computers & Chemical Engineering (2008)
Perspectives for process systems engineering—Personal views from academia and industry
Karsten-Ulrich Klatt;Wolfgang Marquardt.
Computers & Chemical Engineering (2009)
Dynamic optimization using adaptive control vector parameterization
Martin Schlegel;Klaus Stockmann;Thomas Binder;Wolfgang Marquardt.
Computers & Chemical Engineering (2005)
A comparative analysis of distributed MPC techniques applied to the HD-MPC four-tank benchmark
I. Alvarado;D. Limon;D. Muñoz de la Peña;J.M. Maestre.
Journal of Process Control (2011)
Shortcut methods for nonideal multicomponent distillation: 2. Complex columns
J. Bausa;R. v. Watzdorf;W. Marquardt.
Aiche Journal (1998)
OntoCAPE: A Re-Usable Ontology for Chemical Process Engineering
Wolfgang Marquardt;Jan Morbach;Andreas Wiesner;Aidong Yang.
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