Mokhtar HafayedShahlar MeherremSaban ErenDeniz Hasan Gucoglu2025-10-0620180143-20871099-151410.1002/oca.2403http://dx.doi.org/10.1002/oca.2403https://gcris.yasar.edu.tr/handle/123456789/6608In this paper we derive the necessary and sufficient conditions for optimal singular control for systems governed by general controlled McKean-Vlasov differential equations in which the coefficients depend on the state of the solution process as well as of its law and control. The control domain is assumed to be convex. The control variable has 2 components ie the first being absolutely continuous and the second being singular. The proof of our result is based on the derivative of the solution process with respect to the probability law and a corresponding Ito formula. Finally an example is given to illustrate the theoretical results.Englishderivative with respect to measures, McKean-Vlasov differential equations, optimal singular control, probability measure, stochastic maximum principleSTOCHASTIC MAXIMUM PRINCIPLE, MEAN-FIELD, PARTIAL INFORMATION, SYSTEMS, DELAYArticle