J
Johannes P. Schlöder
Researcher at Heidelberg University
Publications - 113
Citations - 5684
Johannes P. Schlöder is an academic researcher from Heidelberg University. The author has contributed to research in topics: Optimal control & Model predictive control. The author has an hindex of 32, co-authored 113 publications receiving 5260 citations. Previous affiliations of Johannes P. Schlöder include Interdisciplinary Center for Scientific Computing.
Papers
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Journal ArticleDOI
Real-time optimization and nonlinear model predictive control of processes governed by differential-algebraic equations
Moritz Diehl,H. Georg Bock,Johannes P. Schlöder,Rolf Findeisen,Zoltan K. Nagy,Frank Allgöwer +5 more
TL;DR: In this paper, the authors present a model predictive control (NMPC) for a high-purity distillation column subject to parameter disturbances, which is based on the direct multiple-shooting (DMS) method.
Journal ArticleDOI
A Real-Time Iteration Scheme for Nonlinear Optimization in Optimal Feedback Control
TL;DR: The robustness and excellent real-time performance of the method is demonstrated in a numerical experiment, the control of an unstable system, namely, an airborne kite that shall fly loops.
Journal ArticleDOI
An efficient multiple shooting based reduced SQP strategy for large-scale dynamic process optimization. Part 1: theoretical aspects
TL;DR: A tailored simultaneous solution strategy based on multiple shooting and reduced SQP is presented, which allows an efficient and robust solution of multistage optimal control and design optimization problems for large, sparse DAE process models of index one.
Journal ArticleDOI
An efficient multiple shooting based reduced SQP strategy for large-scale dynamic process optimization: Part II: Software aspects and applications
TL;DR: The use of directional sensitivities becomes very important for larger problems with many algebraic variables, leading to drastically reduced computing times compared with strategies with complete constraint linearization, and it is demonstrated that a significant speed-up can be obtained through parallel function and gradient evaluations.
Book ChapterDOI
Introduction to Model Based Optimization of Chemical Processes on Moving Horizons
T. Binder,Luise Blank,H. Georg Bock,Roland Bulirsch,Wolfgang Dahmen,Moritz Diehl,Thomas Kronseder,Wolfgang Marquardt,Johannes P. Schlöder,Oskar von Stryk +9 more
TL;DR: This contribution provides a concise introduction into problem formulation and standard numerical techniques commonly found in the context of moving horizon optimization using nonlinear differential algebraic process models.