Viscosity solution of the HJB equation for the stochastic relaxed control problem
Chen Li
Abstract
Chen Li
Abstract
The Hamilton-Jacobi-Bellman equation(HJB equation for short)is obtained for the stochastic optimal control problem under the dynamic programming principle.It is proved that the optimal value function of the stochastic relaxed optimal control problem is the unique viscosity solution for the corresponding HJB equations.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
The Hamilton-Jacobi-Bellman equation(HJB equation for short)is obtained for the stochastic optimal control problem under the dynamic programming principle.It is proved that the optimal value function of the stochastic relaxed optimal control problem is the unique viscosity solution for the corresponding HJB equations.
Key concepts: Hamilton–Jacobi–Bellman equation, Bellman equation, Viscosity solution, Stochastic control, Dynamic programming, Optimal control, Mathematics, Viscosity