Optimal control of stochastic delay differential equations: Optimal feedback controls

被引:0
|
作者
de Feo, Filippo [1 ,2 ,3 ]
Swech, Andrzej [4 ]
机构
[1] Politecn Milan, Dept Math, Piazza Leonardo Vinci 32, I-20133 Milan, Italy
[2] LUISS Guido Carli Univ, Dept Econ & Finance, Viale Romania 32, I-00197 Rome, Italy
[3] Tech Univ Berlin, Inst Math, Str 17 Juni 136, D-10587 Berlin, Germany
[4] Georgia Inst Technol, Sch Math, Atlanta, GA 30332 USA
关键词
Stochastic optimal control; Hamilton-Jacobi-Bellman equation; Optimal synthesis; Verification theorem; Viscosity solution; Stochastic delay differential equation; JACOBI-BELLMAN EQUATIONS; PATH-DEPENDENT PDES; OPTIMAL PORTFOLIO CHOICE; VISCOSITY SOLUTIONS; VERIFICATION THEOREM; HJB-EQUATIONS; STATE CONSTRAINTS; II VERIFICATION; LABOR INCOME; REGULARITY;
D O I
10.1016/j.jde.2024.12.019
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
In this manuscript, we study optimal control problems for stochastic delay differential equations using the dynamic programming approach in Hilbert spaces via viscosity solutions of the associated HamiltonJacobi-Bellman equations. We show how to use the partial C1,alpha-regularity of the value function established in [16] to obtain optimal feedback controls. The main result of the paper is a verification theorem which provides a sufficient condition for optimality using the value function. We then discuss its applicability to the construction of optimal feedback controls. We provide an economic application of our results to stochastic optimal advertising problems. (c) 2024 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
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页码:450 / 508
页数:59
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