Results 101 to 110 of about 640 (183)

On the Structure of the Optimal Guidance Policy of the Soft Landing Problem

Aerospace
We revise the Soft Landing Problem deriving the Optimal Guidance Policy and the Value Function of the minimum time problem in its Controllable Set.
Leonardo Mazzini
doaj   +1 more source

Image Restoration via the Integration of Optimal Control Techniques and the Hamilton–Jacobi–Bellman Equation

Mathematics
In this paper, we propose a novel image restoration framework that integrates optimal control techniques with the Hamilton–Jacobi–Bellman (HJB) equation.
Dragos-Patru Covei
doaj   +1 more source

Hamilton-Jacobi-Bellman equations for Rydberg-blockade processes

Physical Review Research
We discuss time-optimal control problems for two setups involving globally driven Rydberg atoms in the blockade limit by deriving the associated Hamilton-Jacobi-Bellman equations. From these equations, we extract the globally optimal trajectories and the corresponding controls for several target processes of the atomic system, using a generalized ...
Fromonteil, Charles, Tricarico, Roberto, Cesa, Francesco, Pichler, Hannes   +3 more
openaire   +4 more sources

Optimal control by deep learning techniques and its applications on epidemic models. [PDF]

J Math Biol, 2023
Yin S, Wu J, Song P.
europepmc   +1 more source

A Bertrand model with Brownian motion and behavioral errors. [PDF]

Sci Rep
Gao B, Gao X, He S.
europepmc   +1 more source

Mean field game model of the impact of reductions in support on faculty research activity. [PDF]

Proc Natl Acad Sci U S A
Brown RA.
europepmc   +1 more source

Forward-Backward Sweep Method for the System of HJB-FP Equations in Memory-Limited Partially Observable Stochastic Control. [PDF]

Entropy (Basel), 2023
Tottori T, Kobayashi TJ.
europepmc   +1 more source

On the Numerical Integration of the Fokker-Planck Equation Driven by a Mechanical Force and the Bismut-Elworthy-Li Formula. [PDF]

Entropy (Basel)
Sanders J, Muratore-Ginanneschi P.
europepmc   +1 more source

DAFRL: a dynamic adaptive mean field game-based multi-agent cooperative decision-making method. [PDF]

Sci Rep
Tang Y, Fan C, Yu D.
europepmc   +1 more source

From Nash Equilibrium to Social Optimum and Back: A Mean Field Perspective. [PDF]

Appl Math Optim
Carmona R, Dayanıklı G, Delarue F, Laurière M.   +3 more
europepmc   +1 more source