IWR - Simulation and Optimization

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    [Johannes Schloeder]
Open Positions

Dr. Johannes P. Schlöder

Address: Interdisciplinary Center for Scientific Computing (IWR)
Heidelberg University
INF 205, Room 2-322
69120 Heidelberg, Germany
Johannes Schlöder
0049 6221 54 14 613
0049 6221 54 14 629
email: Schloeder@IWR.Uni-Heidelberg.De

Research interests

Modeling, simulation and optimization of dynamic processes; numerical methods for large-scale constrained optimisation, optimal control, real-time optimisation and nonlinear model predictive control; numerical methods for parameter and state estimation, optimum experimental design and optimization under uncertainty; applications in aerospace, mechanics, biomechanics and robotics; chemical engineering, reaction kinetics, biophysics, environmental physics, systems biology and epidemiology.

10 selected recent publications

  1. Kirches C, Bock HG, Schlöder JP, Sager S (2011):
    Block Structured Quadratic Programming for the Direct Multiple Shooting Method for Optimal Control.
    Optimization Methods and Software, 26(2): 239-257.
  2. Lenz SM, Bock HG, Schlöder JP, Kostina EA, Gienger G, Ziegler G (2010):
    Multiple Shooting Method for Initial Satellite Orbit Determination.
    AIAA Journal on Guidance, Control and Dynamics, 33(5): 1334-1346.
  3. Bandara S, Schlöder JP, Eils R, Bock HG, Meyer T (2009):
    Optimal Experimental Design for Parameter Estimation of a Cell Signaling Model.
    PLoS Comput Biol 5(11): e1000558. doi:10.1371/journal.pcbi.
  4. Schäfer A, Kühl P, Diehl M, Schlöder JP, Bock HG (2007):
    Fast reduced multiple shooting methods for nonlinear model predictive control.
    Chemical Engineering and Processing, 46(11): 1200-1214.
  5. Bock HG, Kostina E, Schlöder JP (2007):
    Numerical Methods for Parameter Estimation in Nonlinear Differential Algebraic Equations.
    GAMM Mitt. 30(2):376-408.
  6. Bock HG, Körkel S, Kostina E, Schlöder JP (2007):
    Robustness Aspects in Parameter Estimation, Optimal Design of Experiments and Optimal Control. In Reactive Flows, Diffusion and Transport.
    From Experiment via Mathematical Modeling to Numerical Simulation and Optimization, W. Jäger, R. Rannacher, J. Warnatz (eds.), 117-146, Springer.
  7. Sager S, Bock HG, Diehl M, Reinelt G, Schlöder JP (2006):
    Numerical methods for optimal control with binary control functions applied to a Lotka-Volterra type fishing problem.
    Recent Advances in Optimization, Springer LN Econ. Math. Sciences 563:269-289.
  8. Brandt-Pollmann U, Lebiedz D, Diehl M, Sager S, Schlöder JP (2005):
    Real-time nonlinear feedback control of pattern formation in (bio)chemical reaction-diffusion processes: A model study.
    Chaos, vol. 15, 033901.
  9. Diehl M, Bock HG, Schlöder JP (2005):
    A real-time iteration scheme for nonlinear optimization in optimal feedback control.
    SIAM J. on Control and Optimization 43:1714-1736.
  10. Mombaur KD, Longman RW, Bock HG, Schlöder JP (2005):
    Open-loop stable running.
    Robotica 23(1): 21-33.

Scientific Vita [link]

Seminar [link]

Last updated and validated 10-09-2015

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Last Modified By: Thomas Kloepfer
Last Update:2016-05-20