Titelaufnahme

Titel
Smoothers for control- and state-constrained optimal control problems
Verfasser/ VerfasserinBorzì, Alfio
Erschienen in
Computing and Visualization in Science, 2007, Jg. 11, H. 1, S. 59-66
ErschienenSpringer, 2007
SpracheEnglisch
DokumenttypAufsatz in einer Zeitschrift
ISSN1433-0369
URNurn:nbn:at:at-ubg:3-3650 Persistent Identifier (URN)
DOI10.1007/s00791-006-0057-2 
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 Das Werk ist frei verfügbar
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Smoothers for control- and state-constrained optimal control problems [0.37 mb]
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Zusammenfassung (Englisch)

A framework for designing robust smoothing procedures for control- and state-constrained optimal control problems is presented. The focus is on minimization problems governed by elliptic partial differential equations with additional pointwise constraints on the control variable or on the state variable, respectively. The basic principle for the construction of the present smoothers is the solution of the corresponding optimality systems at grid-point level. A new approach is presented to cope with the lack of differentiability due to the presence of the constraints.

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