Dynamic programming principle for backward doubly stochastic recursive optimal control problem and sobolev weak solution of the stochastic Hamilton-Jacobi-Bellman equation [PDF]
In this paper, we investigate a backward doubly stochastic recursive optimal control problem wherein the cost function is expressed as the solution to a backward doubly stochastic differential equation.
Yunhong Li +3 more
doaj +2 more sources
Entropic Dynamics in Neural Networks, the Renormalization Group and the Hamilton-Jacobi-Bellman Equation [PDF]
We study the dynamics of information processing in the continuum depth limit of deep feed-forward Neural Networks (NN) and find that it can be described in language similar to the Renormalization Group (RG).
Nestor Caticha
doaj +2 more sources
On the Hamilton-Jacobi-Bellman Equation by the Homotopy Perturbation Method [PDF]
Our concern in this paper is to use the homotopy decomposition method to solve the Hamilton-Jacobi-Bellman equation (HJB). The approach is obviously extremely well organized and is an influential procedure in obtaining the solutions of the equations.
Abdon Atangana +2 more
doaj +5 more sources
Viscosity Solutions of Stochastic Hamilton--Jacobi--Bellman Equations [PDF]
In this paper we study the fully nonlinear stochastic Hamilton-Jacobi-Bellman (HJB) equation for the optimal stochastic control problem of stochastic differential equations with random coefficients. The notion of viscosity solution is introduced, and we prove that the value function of the optimal stochastic control problem is the maximal viscosity ...
Jinniao Qiu
exaly +4 more sources
Optimal Defined Contribution Pension Management with Jump Diffusions and Common Shock Dependence
This work deals with an optimal asset allocation problem for a defined contribution (DC) pension plan during its accumulation phase. The contribution rate is assumed to be proportional to the individual’s salary.
Wujun Lv, Linlin Tian, Xiaoyi Zhang
doaj +1 more source
Hamilton–Jacobi–Bellman Equation for Control Systems With Friction [PDF]
This paper proposes a new framework to model control systems in which a dynamic friction occurs. The model consists of a controlled differential inclusion with a discontinuous right-hand side, which still preserves existence and uniqueness of the solution for each given input function u(t).
Fabio Tedone, Michele Palladino
openaire +4 more sources
MEAN VARIANCE PORTFOLIO SELECTION PROBLEM WITH MULTISCALE STOCHASTIC VOLATILITY
This paper discussed the mean-variance portfolio selection problem with multiscale stochastic volatility. We considered two type of volatility, including a fast –moving one and a slowly-moving one by using the stochastic dynamic programming principle ...
Carlos Granados
doaj +1 more source
The large time profile for Hamilton–Jacobi–Bellman equations [PDF]
Here, we study the large-time limit of viscosity solutions of the Cauchy problem for second-order Hamilton--Jacobi--Bellman equations with convex Hamiltonians in the torus. This large-time limit solves the corresponding stationary problem, sometimes called the ergodic problem.
Gomes, Diogo A. +2 more
openaire +4 more sources
This paper presents a numerical approach to solve the Hamilton-Jacobi-Bellman (HJB) equation, which arises in nonlinear optimal control. In this approach, we first use the successive approximation to reduce the HJB equation, a nonlinear partial ...
Ichiro Maruta +2 more
doaj +1 more source
Optimal Feedback Control of Cancer Chemotherapy Using Hamilton–Jacobi–Bellman Equation
Cancer chemotherapy has been the most common cancer treatment. However, it has side effects that kill both tumor cells and immune cells, which can ravage the patient’s immune system. Chemotherapy should be administered depending on the patient’s immunity
Yong Dam Jeong +5 more
doaj +1 more source

