Ralf Hannemann-Tamas
机构: Forschungszentrum Jülich
每年引用次数
引用次数
引用: 740
H-指数: 13
I10-指数 : 17
出版物: 43
Multiscale dynamic modeling and simulation of a biorefinery.
Tobias Ploch , Xiao Zhao , Jonathan Hüser , Eric Lieres
Biotechnology and Bioengineering 116 ( 10) 2561 -2574
9
2019
Modeling of dynamic systems with a variable number of phases in liquid–liquid equilibria
Tobias Ploch , Moll Glass , Andreas M Bremen , Ralf Hannemann‐Tamás
Aiche Journal 65 ( 2) 571 -581
3
2019
DyOS - A Framework for Optimization of Large-Scale Differential Algebraic Equation Systems
A. Caspari , A.M. Bremen , J.M.M. Faust , F. Jung
Escape-29 46 619 -624
35
2019
Supplementary material-tubular reactor model and steady-state optimization
ES Schultz , R Hannemann-Tamás , A Mitsos
Available on https://publications. rwth-aachen. de/record/766884
1
2019
Dataset to "Guaranteed satisfaction of inequality state constraints in PDE-constrained optimization"
Ralf Hannemann-Tamás , Alexander Mitsos , Eduardo dos Santos Schultz
2019
An iterative partition-based moving horizon estimator with coupled inequality constraints
René Schneider , Ralf Hannemann-Tamás , Wolfgang Marquardt
Automatica 61 ( 61) 302 -307
21
2015
Model complexity reduction of chemical reaction networks using mixed-integer quadratic programming
Ralf Hannemann-Tamás , Attila Gábor , Gábor Szederkényi , Katalin M. Hangos
Computers & Mathematics With Applications 65 ( 10) 1575 -1595
15
2013
Simulation of differential-algebraic equation systems with optimization criteria embedded in Modelica
Tobias Ploch , Eric von Lieres , Wolfgang Wiechert , Alexander Mitsos
Computers & Chemical Engineering 140 106920
7
2020
Robust dynamic optimization of batch processes under parametric uncertainty: Utilizing approaches from semi-infinite programs
Jennifer Puschke , Hatim Djelassi , Johanna Kleinekorte , Ralf Hannemann-Tamás
Computers & Chemical Engineering 116 253 -267
9
2018
Polynomial approximation of inequality path constraints in dynamic optimization
Eduardo S. Schultz , Ralf Hannemann-Tamás , Alexander Mitsos
Computers & Chemical Engineering 135 106732
2
2020
Optimized Hollow Fiber Sorbents and Pressure Swing Adsorption Process for H2 Recovery
Burkhard Ohs , Johannes Lohaus , Dennis Marten , Ralf Hannemann-Tamás
Industrial & Engineering Chemistry Research 57 ( 14) 5093 -5105
6
2018
How to verify optimal controls computed by direct shooting methods? – A tutorial
Ralf Hannemann-Tamás , Wolfgang Marquardt
Journal of Process Control 22 ( 2) 494 -507
21
2012
Adjoint Sensitivity Analysis for Nonsmooth Differential-Algebraic Equation Systems
Ralf Hannemann-Tamás , Diego A. Mun͂oz , Wolfgang Marquardt
SIAM Journal on Scientific Computing 37 ( 5)
4
2015
Modeling of dynamic systems with a variable number of phases in liquid–liquid equilibria
Tobias Ploch , Moll Glass , Andreas M Bremen , Ralf Hannemann‐Tamás
Aiche Journal 65 ( 2) 571 -581
3
2019
First- and second-order parameter sensitivities of a metabolically and isotopically non-stationary biochemical network model
Ralf Hannemann-Tamás , Jana Tillack , Moritz Schmitz , Michael Förster
international modelica conference ( 076) 641 -648
2
2012
Guaranteed satisfaction of inequality state constraints in PDE-constrained optimization
Eduardo S. Schultz , Ralf Hannemann-Tamás , Alexander Mitsos
Automatica 111 ( 111) 108653
1
2020
Software for Higher-order Sensitivity Analysis of Parametric DAEs.
Moritz Schmitz , Ralf Hannemann-Tamás , Boris Gendler , Michael Förster
Simul. Notes Eur. 22 ( 3-4) 163 -168
4
2012
Direct single shooting for dynamic optimization of differential-algebraic equation systems with optimization criteria embedded
Tobias Ploch , Jens Deussen , Uwe Naumann , Alexander Mitsos
Computers & Chemical Engineering 159 107643 -107643
4
2022
Dynamic modeling of phase changes in liquid-liquid mixtures
Tobias Ploch , Moll Glass , Andreas M Bremen , Ralf Hannemann-Tamás
2018 AIChE Annual Meeting
1
2018
Adjoint Sensitivity Analysis for Optimal Control of Non-Smooth Differential-Algebraic Equations
Ralf Hannemann-Tamás
Shaker
10
2013