@article{Treanţǎ2026, 
author = {Savin Treanţǎ and Cristina-Florentina Pîrje},
title = {On constant-level set constrained robust multi-dimensional controlled models},
year = {2026},
journal = {AIMS Mathematics},
volume = {11},
number = {4},
pages = {10796-10810},
keywords = {constant-level set constraints, robust optimal point, robust optimality criteria, convex functional, pseudoconvex functional},
url = {https://www.sciopen.com/article/10.3934/math.2026443},
doi = {10.3934/math.2026443},
abstract = {This paper investigated a new family of robust multidimensional controlled models with constant-level set constraints. More precisely, we considered the extremization of a functional, given by a controlled multiple integral involving an uncertain parameter, subject to a finite set of constraints determined by path-independent curvilinear integral functionals. Necessary and sufficient optimality criteria were established for a robust feasible point. In addition, a saddle-point-type characterization of robust optimal points was studied in the second part of the paper.}
}