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Sufficient second-order optimality conditions for convex control constraints
Sufficient second-order optimality conditions for convex control constraints
Wachsmuth, Daniel
Inst. Mathematik
In this article sufficient optimality conditions are established for optimal control problems with pointwise convex control constraints. Here, the control is a function with values in Rn. The constraint is of the form u(x) ā U(x), where U is an set-valued mapping that is assumed to be measurable with convex and closed images. The second-order condition requires coercivity of the Lagrange function on a suitable subspace, which excludes strongly active constraints, together with first-order necessary conditions. It ensures local optimality of a reference function in a Lā-neighborhood. The analysis is done for a model problem namely the optimal distributed control of the instationary Navier-Stokes equations.
