Mean-Field Pontryagin Maximum Principle

Abstract : We derive a Maximum Principle for optimal control problems with constraints given by the coupling of a system of ordinary differential equations and a partial differential equation of Vlasov-type with smooth interaction kernel. Such problems arise naturally as Gamma-limits of optimal control problems constrained by ordinary differential equations, modeling, for instance, external interventions on crowd dynamics by means of leaders. We obtain these first-order optimality conditions in the form of Hamiltonian flows in the Wasserstein space of probability measures with forward-backward boundary conditions with respect to the first and second marginals, respectively. In particular, we recover the equations and their solutions by means of a constructive procedure, which can be seen as the mean-field limit of the Pontryagin Maximum Principle applied to the optimal control problem for the discretized density, under a suitable scaling of the adjoint variables.
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Contributor : Francesco Rossi <>
Submitted on : Monday, August 28, 2017 - 2:19:58 PM
Last modification on : Wednesday, September 12, 2018 - 1:26:23 AM


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Mattia Bongini, Massimo Fornasier, Francesco Rossi, Francesco Solombrino. Mean-Field Pontryagin Maximum Principle. Journal of Optimization Theory and Applications, Springer Verlag, 2017, 211, pp.1-38. ⟨10.1007/s10957-017-1149-5⟩. ⟨hal-01577930⟩



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