Numerical Algorithms

, Volume 50, Issue 3, pp 241–269

Strategies for time-dependent PDE control with inequality constraints using an integrated modeling and simulation environment

Original Paper

DOI: 10.1007/s11075-008-9225-4

Cite this article as:
Neitzel, I., Prüfert, U. & Slawig, T. Numer Algor (2009) 50: 241. doi:10.1007/s11075-008-9225-4


In Neitzel et al. (Strategies for time-dependent PDE control using an integrated modeling and simulation environment. Part one: problems without inequality constraints. Technical Report 408, Matheon, Berlin, 2007) we have shown how time-dependent optimal control for partial differential equations can be realized in a modern high-level modeling and simulation package. In this article we extend our approach to (state) constrained problems. “Pure” state constraints in a function space setting lead to non-regular Lagrange multipliers (if they exist), i.e. the Lagrange multipliers are in general Borel measures. This will be overcome by different regularization techniques. To implement inequality constraints, active set methods and barrier methods are widely in use. We show how these techniques can be realized in a modeling and simulation package. We implement a projection method based on active sets as well as a barrier method and a Moreau Yosida regularization, and compare these methods by a program that optimizes the discrete version of the given problem.


Optimal controlParabolic PDEsInequality constraintsIntegrated modeling and simulation environments

Copyright information

© Springer Science+Business Media, LLC. 2008

Authors and Affiliations

  1. 1.Fakultät II Institut für MathematikTU BerlinBerlinGermany
  2. 2.Technische FakultätChristian-Albrechts-Universität zu KielKielGermany