Directional sparsity in optimal control of partial differential equations

Roland Herzog, Georg Stadler, Gerd Wachsmuth

Research output: Contribution to journalArticle

Abstract

We study optimal control problems in which controls with certain sparsity patterns are preferred. For time-dependent problems the approach can be used to find locations for control devices that allow controlling the system in an optimal way over the entire time interval. The approach uses a nondifferentiable cost functional to implement the sparsity requirements; additionally, bound constraints for the optimal controls can be included. We study the resulting problem in appropriate function spaces and present two solution methods of Newton type, based on different formulations of the optimality system. Using elliptic and parabolic test problems we research the sparsity properties of the optimal controls and analyze the behavior of the proposed solution algorithms.

Original languageEnglish (US)
Pages (from-to)943-963
Number of pages21
JournalSIAM Journal on Control and Optimization
Volume50
Issue number2
DOIs
StatePublished - 2012

Fingerprint

Sparsity
Partial differential equations
Optimal Control
Partial differential equation
Bound Constraints
Optimality System
Parabolic Problems
Function Space
Test Problems
Optimal Control Problem
Entire
Interval
Formulation
Requirements
Costs

Keywords

  • Control device placement
  • L1-norm minimization
  • Optimal control
  • Semismooth
  • Sparsity

ASJC Scopus subject areas

  • Control and Optimization
  • Applied Mathematics

Cite this

Directional sparsity in optimal control of partial differential equations. / Herzog, Roland; Stadler, Georg; Wachsmuth, Gerd.

In: SIAM Journal on Control and Optimization, Vol. 50, No. 2, 2012, p. 943-963.

Research output: Contribution to journalArticle

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