The variational convergence of sequences of optimal control problems with state constraints (namely inclusions or equations) with weakly converging input multi-valued operators is studied in a nonre°exive abstract framework, using ¡-conver- gence techniques. This allows to treat a lot of situations where a lack of coercivity forces to enlarge the space of states where the limit problem has to be imbedded. Some concrete applications to optimal control problems with measures as controls are given either in a nonlinear multi-valued or nonlocal but single-valued framework.

Optimal Control Problems with Weakly Converging Input Operators in a Nonreflexive Framework

FREDDI, Lorenzo
2000-01-01

Abstract

The variational convergence of sequences of optimal control problems with state constraints (namely inclusions or equations) with weakly converging input multi-valued operators is studied in a nonre°exive abstract framework, using ¡-conver- gence techniques. This allows to treat a lot of situations where a lack of coercivity forces to enlarge the space of states where the limit problem has to be imbedded. Some concrete applications to optimal control problems with measures as controls are given either in a nonlinear multi-valued or nonlocal but single-valued framework.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11390/735863
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