A Pontryagin Maximum Principle for State-Constrained Control Problems in Wasserstein Spaces
Принцип максимума Понтрягина для задач управления с ограничениями на состояние в пространствах Вассерштейна
2026-07-02
SCID: 54.1/wrgryscb
Discuss with AI
Ekeland's variational principlePontryagin maximum principleWasserstein spacesnonlocal continuity equationstate-constrained control
Figures from the paper
Abstract (AI)
Abstract. We develop necessary optimality conditions in the form of a Pontryagin maximum principle for a Bolza optimal control problem, where the dynamics are governed by a nonlocal continuity equation, and the problem includes pointwise state constraints. To derive the main result, we combine diffusive perturbations of the control with classical variational techniques, such as Ekeland’s variational principle. Particular attention is given to the interplay between the nonlocal nature of the dynamics and the structure of the state constraints, requiring a careful adaptation of traditional methods.
Key Findings
1
A Pontryagin maximum principle (PMP) is derived as necessary optimality conditions for a Bolza optimal control problem in Wasserstein spaces with nonlocal continuity dynamics.
2
Special adaptations are made to handle the interaction between nonlocal dynamics and the structure of state constraints.
3
The control problem formulation includes pointwise state constraints, and the PMP accommodates these state constraints.
4
The derivation combines diffusive perturbations of the control with classical variational techniques, including Ekeland’s variational principle.
Research Object
Bolza optimal control problem for dynamics governed by a nonlocal continuity equation in Wasserstein spaces with pointwise state constraints
Research Subject
Necessary optimality conditions in the form of a Pontryagin maximum principle for the above control problem, addressing the interplay between nonlocal dynamics and pointwise state constraints using diffusive control perturbations and variational techniques
Publication Details
Publication Date
2026-07-02
Journal
Publisher
ISSN
Cited by
0
Access Type
Author Information
Download PDF
Subscribe to digest