Daniel B. Leineweber
Interdisziplinäres
Zentrum für Wissenschaftliches Rechnen (IWR)
Universität Heidelberg
Im Neuenheimer Feld 368
D-69120 Heidelberg, Germany
Current Address:
Bayer Technology Services GmbH
Process Technology - Computational Solutions
BTS-PT-AS-CS, Geb. K 9
D-51368 Leverkusen, Germany
daniel.leineweber.dl@bayertechnology.com
Phone: +49 (0)214 30-65974, Fax: +49 (0)214 30-64801
Studied Technical Cybernetics and Chemical Engineering at Universität
Stuttgart and University of Wisconsin-Madison. Graduated in 1992/1993.
Worked with Professor Hans Georg Bock at IWR Heidelberg from 1993 to 1998
in the field of optimal control. Now senior expert for model-based process
analysis and optimization at Bayer Technology Services, Leverkusen.
Areas of interest: rigorous modeling of complex dynamic processes, optimization
of chemical processes described by large sparse DAE and PDAE models, development
of tailored SQP techniques, data mining for process data analysis.
Research Projects at IWR Heidelberg
- Development of
MUSCOD-II,
a modular optimal control package based on multiple shooting and partially
reduced SQP
- Real-time optimization of large dynamic processes in chemical engineering
(in cooperation with the Institut für Systemdynamik und Regelungstechnik,
Universität Stuttgart, within the DFG Schwerpunktprogramm ``Echtzeit-Optimierung
großer Systeme'')
- Optimization of combustion processes (in cooperation with ABB Management
AG, Baden-Dättwil, Switzerland)
Publications
- D. B. Leineweber: Production of calcium magnesium acetate (CMA) from
dilute aqueous solutions of acetic acid. M. Sc. Thesis. Department
of Chemical Engineering, University of Wisconsin-Madison, 1992.
[Abstract]
[PS File (gzipped)]
[PDF File]
- D. B. Leineweber: The theory of MUSCOD in a nutshell. IWR-Preprint
96-19. Universität Heidelberg, 1996.
[Abstract]
[PS File (gzipped)]
[PDF File]
- D. B. Leineweber, A. C. Ströder: Parameter estimation and optimal
control for dynamic chemical processes. In F. Keil, W. Mackens, H. Voß,
J. Werther (Ed.): Scientific Computing in Chemical Engineering. Springer,
Berlin, 1996. Preprint Version:
[Abstract]
[PS File (gzipped)]
[PDF File]
- D. B. Leineweber, J. A. Jost: LIBLAC - structured data types and basic
operations for numerical linear algebra in an ANSI C/Fortran 77 environment.
IWR-Preprint 96-56. Universität Heidelberg, 1996. [Abstract]
[PS
File (gzipped)] [PDF
File]
- D. B. Leineweber, H. G. Bock, J. P. Schlöder, J. V. Gallitzendörfer,
A. Schäfer, P. Jansohn: A boundary value problem approach to the optimization
of chemical processes described by DAE models. IWR-Preprint 97-14. Universität
Heidelberg, 1997. [Abstract]
[PS
File (gzipped)] [PDF
File]
- D. B. Leineweber, H. G. Bock, J. P. Schlöder: Fast direct methods
for real-time optimization of chemical processes. In A. Sydow (Ed.): Proceedings
of the 15th IMACS World Congress on Scientific Computation, Modelling and
Applied Mathematics (Berlin, August 24-29, 1997), Vol. 6 (Application
in Modelling and Simulation), 451-456. Wissenschaft & Technik Verlag,
Berlin, 1997. [Abstract]
[PS
File (gzipped)] [PDF
File]
- D. B. Leineweber: Efficient reduced SQP methods for the optimization
of chemical processes described by large sparse DAE models. Fortschritt-Berichte
VDI, Reihe 3, Nr. 613. VDI-Verlag GmbH, Düsseldorf, 1999. [Abstract]
[PS
File (gzipped)] [PDF
File]
- I. Bauer, H. G. Bock, D. B. Leineweber, J. P. Schlöder: Direct
multiple shooting methods for control and optimization of DAE in chemical
engineering. In F. Keil, W. Mackens, H. Voß, J. Werther (Ed.): Scientific
Computing in Chemical Engineering II, Vol. 1 (Simulation, Image Processing,
Optimization and Control), 2-18. Springer, Berlin, 1999.
- H. G. Bock, M. Diehl, D. B. Leineweber, J. P. Schlöder: Efficient
direct multiple shooting in nonlinear model predictive control. In F. Keil,
W. Mackens, H. Voß, J. Werther (Ed.): Scientific Computing in
Chemical Engineering II, Vol. 1 (Simulation, Image Processing, Optimization
and Control), 218-227. Springer, Berlin, 1999.
- D. B. Leineweber: An efficient reduced SQP strategy for
large-scale dynamic process optimization. In B. Fiedler, K. Gröger,
J. Sprekels (Ed.): Equadiff 99 - Proceedings of the International Conference
on Differential Equations (Berlin, August 1-7, 1999), Vol. 2, 1129-1134.
World Scientific Publishing, Singapore, 2000.
- H. G. Bock, M. Diehl, D. B. Leineweber, J. P. Schlöder: A direct
multiple shooting method for real-time optimization of nonlinear DAE processes.
In F. Allgöwer, A. Zheng (Ed.): Progress in Systems Theory, Vol.
26, 246-267. Birkhäuser, Basel, 2000.
- Z. Nagy, R. Findeisen, M. Diehl, F. Allgöwer, H. G. Bock, S. Agachi,
J. P. Schlöder, D. B. Leineweber: Real-time feasibility of nonlinear
predictive control for large scale processes - a case study. Proceedings
of the American Control Conference 2000, 4249-4254. Chicago, 2000.
Preprint Version:
[Abstract]
[PS File (gzipped)]
[PDF File]
- M. Diehl, D. B. Leineweber, A. Schäfer: MUSCOD-II Users' Manual.
IWR-Preprint 2001-25. Universität Heidelberg, 2001.
- J. Oldenburg, W. Marquardt, D. Heinz, D. B. Leineweber: Mixed-logic
dynamic optimization applied to configuration and sequencing of batch distillation
processes. In J. Grievink, J. v. Schijndel (Ed.): European Symposium
on Computer Aided Process Engineering - 12, 283-288, Elsevier, 2002.
- M. Diehl, D. B. Leineweber, A. Schäfer, J. P. Schlöder, H.
G. Bock: Optimization of multiple-fraction batch distillation with recycled
waste cuts. AIChE J. 48, 2869-2874, 2002. Preprint
Version:
[Abstract]
[PS File (gzipped)]
[PDF File]
- D. B. Leineweber, I. Bauer, H. G. Bock, J. P. Schlöder: An efficient
multiple shooting based reduced SQP strategy for large-scale dynamic process
optimization - part I: theoretical aspects. Comput. Chem. Engng 27,
157-166, 2003. Preprint Version:
[Abstract]
[PS File (gzipped)]
[PDF File]
- D. B. Leineweber, A. Schäfer, H. G. Bock, J. P. Schlöder:
An efficient multiple shooting based reduced SQP strategy for large-scale
dynamic process optimization - part II: software aspects and applications.
Comput. Chem. Engng 27, 167-174, 2003. Preprint Version:
[Abstract]
[PS File (gzipped)]
[PDF File]
- J. Oldenburg, W. Marquardt, D. Heinz, D. B. Leineweber:
Mixed-logic dynamic optimization applied to batch distillation process
design. AIChE J 49, 2900-2917, 2003.
- R. Burghaus, D. B. Leineweber, J. Lippert:
Einsatz von Data-Mining zur Analyse eines Polymerprozesses.
Chemie Ingenieur Technik 75, 897-900, 2003. Preprint Version:
[PDF File]
- R. Burghaus, D. B. Leineweber, J. Lippert:
Data Mining Analysis of a Complex Multistage Polymer Process.
Submitted to Chemical Engineering and Technology. Preprint Version:
[PDF File]
Presentations
- D. B. Leineweber, A. C. Ströder: Parameterschätzung und Optimale
Steuerung für Dynamische Prozesse der Verfahrenstechnik. Workshop
``Scientific Computing in der Chemischen Verfahrenstechnik'', TU Hamburg-Harburg,
March 1-3, 1995.
- D. B. Leineweber: Effiziente Methoden zur numerischen Lösung von
Optimal-Steuerungsproblemen für DAE-Modelle. Institut für Systemdynamik
und Regelungstechnik, Universität Stuttgart, December 1, 1995.
- D. B. Leineweber, C. Majer: Echtzeit-Optimierung bei großen dynamischen
Prozessen der Verfahrenstechnik - Methoden und Anwendungen. Workshop of
the DFG-Schwerpunktprogramm ``Echtzeit-Optimierung großer Systeme'',
Schloss Thurnau, April 25-26, 1996.
- D. B. Leineweber: Optimierung großer dynamischer Prozesse der
chemischen Verfahrenstechnik. Workshop ``Moderne Optimierungsmethoden'',
Graduiertenkolleg/IWR, Universität Heidelberg, July 18-20, 1996.
- D. B. Leineweber, H. G. Bock, J. P. Schlöder, A. Schäfer,
P. Jansohn: Efficient Techniques for the Optimization of Complex Chemical
Processes. Third Workshop on ``Modelling of Chemical Reaction Systems'',
IWR, Universität Heidelberg, July 24-26, 1996.
- D. B. Leineweber: Hot-Start-Strategien zur Online-Reoptimierung mittels
schneller direkter Verfahren. Workshop of the DFG-Schwerpunktprogramm ``Echtzeit-Optimierung
großer Systeme'', Bad Fredeburg, October 29-31, 1996.
- D. B. Leineweber: A Boundary Value Problem Approach to the Optimization
of Chemical Processes Described by DAE Models. Department of Chemical Engineering,
University of Wisconsin-Madison, March 27, 1997.
- D. B. Leineweber, H. G. Bock, J. P. Schlöder: Fast Direct Methods
for Real-Time Optimization of Chemical Processes. 15th IMACS World Congress
on Scientific Computation, Modelling and Applied Mathematics, Berlin, August
24-29, 1997.
- D. B. Leineweber: Efficient Reduced SQP Methods for the Optimization
of Chemical Processes Described by Large Sparse DAE Models. Institut für
Automatik, ETH Zürich, March 9, 1998.
- D. B. Leineweber: Effiziente partiell reduzierte SQP-Strategien für
die Optimierung von Chemischen Prozessen. Institut für Wissenschaftliches
Rechnen, TU Dresden, April 21, 1998, and: Lehrstuhl für Prozesstechnik,
RWTH Aachen, May 25, 1998.
- D. B. Leineweber: An Efficient Reduced SQP Strategy for
Large-Scale Dynamic Process Optimization. Equadiff 99, Berlin, August 1-7,
1999.
- D. B. Leineweber: Efficient Partially Reduced SQP Strategies
for Large-Scale Dynamic Process Optimization. CAPD Annual Review Meeting,
Center for Advanced Process Decision-Making, Carnegie Mellon University,
Pittsburgh, March 27-28, 2000.
- D. B. Leineweber, A. Schäfer: Experience with the
gPROMS ESO at Bayer - Coupling of gPROMS and MUSCOD-II. PSE User Group
Meeting, Sir Christopher Wren's Hotel, Windsor, April 24, 2001.
- D. B. Leineweber: Data Mining zur Analyse von Prozessdaten.
Seminar ``Neuronale Netze in Chemie und Verfahrenstechnik'', Haus
der Technik e.V., Essen, November 7, 2002.
Updated January 25, 2004; Comments to daniel.leineweber.dl@bayertechnology.com