%0 Journal Article 
%A Jayswal, Anurag
%A Preeti
%A Arana Jiménez, Manuel
%T Robust penalty function method for an uncertain multi-time control optimization problems
%D 2022
%@ 1096-0813

%U http://hdl.handle.net/10498/40417
%X This paper gives some new results on multi-time first-order PDE constrained control optimization problem in the face of data uncertainty (MCOPU). We obtain the robust sufficient optimality conditions for (MCOPU). Further, we construct an unconstrained multi-time control optimization problem (MCOPU) corresponding to (MCOPU) via absolute value penalty function method. Then, we show that the robust optimal solution to the constrained problem and a robust minimizer to the unconstrained problem are equivalent under suitable hypotheses. Moreover, we give some non-trivial examples to validate the results established in this paper
%K Absolute value penalty function method
%K Convexity Multi-time control optimization problem
%K Robust necessary optimality conditions
%K Robust optimal solution
%~ Universidad de Cádiz