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On regularization methods for the numerical solutionof paraboliccontrol problems with pointwisestate constraints

Published online by Cambridge University Press:  24 June 2008

Ira Neitzel
Affiliation:
Technische Universität Berlin, Fakultät II – Mathematik und Naturwissenschaften, Str. des 17. Juni 136, 10623 Berlin, Germany. neitzel@math.tu-berlin.de; troeltz@math.tu-berlin.de
Fredi Tröltzsch
Affiliation:
Technische Universität Berlin, Fakultät II – Mathematik und Naturwissenschaften, Str. des 17. Juni 136, 10623 Berlin, Germany. neitzel@math.tu-berlin.de; troeltz@math.tu-berlin.de
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Abstract

In this paper we study Lavrentiev-type regularization concepts forlinear-quadratic parabolic control problems with pointwise state constraints. Inthe first part, we apply classical Lavrentiev regularization to a problem withdistributed control, whereas in the second part, a Lavrentiev-typeregularization method based on the adjoint operator is applied to boundarycontrol problems with state constraints in the whole domain. The analysis forboth classes of control problems is investigated and numerical tests areconducted. Moreover the method is compared with other numerical techniques.

Type
Research Article
Copyright
© EDP Sciences, SMAI, 2008

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References

Arada, N. and Raymond, J.P., Optimal control problems with mixed control-state constraints. SIAM J. Control 39 (2000) 13911407. CrossRef
Arada, N., El Fekih, H. and Raymond, J.-P., Asymptotic analysis of some control problems. Asymptotic Anal. 24 (2000) 343366.
Bergounioux, M. and Kunisch, K., Primal-dual active set strategy for state-constrained optimal control problems. Comput. Optim. Appl. 22 (2002) 193224. CrossRef
Bergounioux, M., Ito, K. and Kunisch, K., Primal-dual strategy for constrained optimal control problems. SIAM J. Control Opt. 37 (1999) 11761194. CrossRef
Bergounioux, M., Haddou, M., Hintermüller, M. and Kunisch, K., A comparison of a Moreau-Yosida-based active set strategy and interior point methods for constrained optimal control problems. SIAM J. Optim. 11 (2000) 495521. CrossRef
J.T. Betts and S.L. Campbell, Discretize Then Optimize. Technical Report M&CT-TECH-03-01, Phantom Works, Mathematics & Computing Technology. A Division of The Boeing Company (2003).
J.T. Betts and S.L. Campbell, Discretize then Optimize, in Mathematics in Industry: Challenges and Frontiers A Process View: Practice and Theory, D.R. Ferguson and T.J. Peters Eds., SIAM Publications, Philadelphia (2005).
Betts, J.T., Campbell, S.L. and Englesone, A., Direct transcription solution of optimal control problems with higher order state constraints: theory vs. practice. Optim. Engineering 8 (2007) 119. CrossRef
Casas, E., Boundary control of semilinear elliptic equations with pointwise state constraints. SIAM J. Control Opt. 31 (1993) 9931006. CrossRef
Casas, E., Pontryagin's principle for state-constrained boundary control problems of semilinear parabolic equations. SIAM J. Control Opt. 35 (1997) 12971327. CrossRef
Deckelnick, K. and Hinze, M., Convergence of a finite element approximation to a state constrained elliptic control problem. SIAM J. Numer. Anal. 45 (2007) 19371953. CrossRef
Hintermüller, M., Ito, K. and Kunisch, K., The primal-dual active set strategy as a semismooth Newton method. SIAM J. Optim. 13 (2003) 865888. CrossRef
Hintermüller, M., Tröltzsch, F. and Yousept, I., Mesh-independence of semismooth Newton methods for Lavrentiev-regularized state constrained nonlinear optimal control problems. Numer. Math. 108 (2008) 571603. CrossRef
Ito, K. and Kunisch, K., Augmented Lagrangian methods for nonsmooth, convex optimization in Hilbert spaces. Nonlinear Anal. Theory Methods Appl. 41 (2000) 591616. CrossRef
Ito, K. and Kunisch, K., Semi-smooth Newton methods for state-constrained optimal control problems. Systems Control Lett. 50 (2003) 221228. CrossRef
S. Kameswaran and L.T. Biegler, Advantages of Nonlinear Programming Based Methodologies for Inequality Path Constrained Optimal Control Problems – An Analysis of the Betts and Campbell Heat Conduction Problem. Technical report, Chemical Engineering Department Carnegie Mellon, University Pittsburgh, USA (2005).
Kunisch, K. and Rösch, A., Primal-dual active set strategy for a general class of constrained optimal control problems. SIAM J. Optim. 13 (2002) 321334. CrossRef
J.L. Lions, Optimal Control of Systems Governed by Partial Differential Equations. Springer-Verlag, Berlin (1971).
C. Meyer and F. Tröltzsch, On an elliptic optimal control problem with pointwise mixed control-state constraints, in Recent Advances in Optimization, Proceedings of the 12th French-German-Spanish Conference on Optimization, Avignon, September 20–24, 2004, A. Seeger Ed., Lectures Notes in Economics and Mathematical Systems, Springer-Verlag (2005).
Meyer, C., Rösch, A. and Tröltzsch, F., Optimal control of PDEs with regularized pointwise state constraints. Comput. Optim. Appl. 33 (2006) 209228. CrossRef
Meyer, C., Prüfert, U. and Tröltzsch, F., On two numerical methods for state-constrained elliptic control problems. Optim. Methods Software 22 (2007) 871899. CrossRef
I. Neitzel and F. Tröltzsch, On convergence of regularization methods for nonlinear parabolic optimal control problems with control and state constraints. Technical Report 24-03, SPP 1253 (2008).
Prüfert, U., Tröltzsch, F. and Weiser, M., The convergence of an interior point method for an elliptic control problem with mixed control-state constraints. Comput. Optim. Appl. 39 (2008) 183218. CrossRef
Raymond, J.-P. and Tröltzsch, F., Second order sufficient optimality conditions for nonlinear parabolic control problems with state constraints. Discrete Contin. Dyn. S. 6 (2000) 431450.
J.-P. Raymond and H. Zidani, Hamiltonian Pontryagin's principles for control problems governed by semilinear parabolic equations. Appl. Math. Optim. 39 (1999 ) 143–177.
Rösch, A. and Tröltzsch, F., Existence of regular Lagrange multipliers for a nonlinear elliptic optimal control problem with pointwise control-state constraints. SIAM J. Control Opt. 45 (2006) 548564. CrossRef
Rösch, A. and Tröltzsch, F., Sufficient second-order optimality conditions for an elliptic optimal control problem with pointwise control-state constraints. SIAM J. Optim. 17 (2006) 776794. CrossRef
Rösch, A. and Tröltzsch, F., On regularity of solutions and Lagrange multipliers of optimal control problems for semilinear equations with mixed pointwise control-state constraints. SIAM J. Control Opt. 46 (2007) 10981115. CrossRef
A. Schiela, The control reduced interior point method. A function space oriented algorithmic approach. Ph.D. thesis, Freie Universität Berlin, Germany (2006).
F. Tröltzsch and I. Yousept, A regularization method for the numerical solution of elliptic boundary control problems with pointwise state constraints. Comput. Optim. Appl. DOI: 10.1007/s10589-007-9114-0 (2008) online first.