@ARTICLE{Jayswal_Anurag_Robust_2024,
 author={Jayswal, Anurag and Baranwal, Ayushi and Arana-Jiménez, Manuel},
 volume={vol. 34},
 number={No 2},
 journal={Archives of Control Sciences},
 pages={349–377},
 howpublished={online},
 year={2024},
 publisher={Committee of Automatic Control and Robotics PAS},
 abstract={This paper is devoted to study robust efficiency in terms of variational inequality for a class of multi-dimensional multi-objective first-order PDE-constrained fractional control optimization problems with data uncertainty (MMFP). We derive a robust controlled vector variational inequality (VI) together with its weak form and discuss equivalence between the solutions of (VI) and (MMFP) via imposing the suitable assumptions. Later on, we study a sufficient condition for the robust weak efficient solution of (MMFP) to be its robust efficient solution under the strict convexity assumption and give some applications to illustrate the established results.},
 type={Article},
 title={Robust controlled vector variational inequalities for multi-dimensional fractional control optimization problems},
 URL={http://czasopisma.pan.pl/Content/131942/art-5.pdf},
 doi={10.24425/acs.2024.149664},
 keywords={fractional control optimization problem, convexity, robust efficient solution, uncertainty, variational inequality},
}