We consider optimal control problems with state constraint, where states X-t given as solutions of controlled stochastic differential equations are required to satisfy the constraint described either by the condition that Xt is an element of G ($) over bar for all t > 0 or by the condition that X-t is an element of G for all t > 0, with G being a given open subset of RN. Under suitable assumptions, we establish the unique existence of a continuous viscosity solution of the state constraint problem for the associated Hamilton-Jacobi-Bellman equation, which is fully nonlinear degenerate second order elliptic equation, Lipschitz and Holder regularity results for the viscosity solution of the state constraint problem, and that the value functio...
This paper is concerned with an optimal control problem where the state is constrained to stay eithe...
We study a family of optimal control problems under a set of controlled-loss constraints holding at ...
In this paper we extend the work presented in our previous papers (2001) where we considered optimal...
We study a class of Markovian optimal stochastic control problems in which the controlled process $Z...
This thesis looks at a few different approaches to solving stochas-tic optimal control problems with...
We study a class of Markovian optimal stochastic control problems in which the controlled process Zν...
The paper deals with deterministic optimal control problems with state constraints and non-linear dy...
Stochastic Perron’s method for optimal control problems with state constraints Dmitry B. Rokhlin* We...
We provide a dynamic programming principle for stochastic optimal control problems with expectation ...
We provide a dynamic programming principle for stochastic optimal control problems with expectation ...
We establish uniqueness of viscosity solutions for some boundary value problems arising from stochas...
We present a method for finding a stationary solution to the Hamilton-Jacobi-Bellman (HJB) equation ...
The paper is concerned with fully nonlinear second order Hamilton--Jacobi--Bellman-- Isaacs equation...
We consider a stochastic optimal control problem originating from a classical portfolio liquidation ...
This paper deals with a class of stochastic optimal control problems (SOCPs) in the presence of stat...
This paper is concerned with an optimal control problem where the state is constrained to stay eithe...
We study a family of optimal control problems under a set of controlled-loss constraints holding at ...
In this paper we extend the work presented in our previous papers (2001) where we considered optimal...
We study a class of Markovian optimal stochastic control problems in which the controlled process $Z...
This thesis looks at a few different approaches to solving stochas-tic optimal control problems with...
We study a class of Markovian optimal stochastic control problems in which the controlled process Zν...
The paper deals with deterministic optimal control problems with state constraints and non-linear dy...
Stochastic Perron’s method for optimal control problems with state constraints Dmitry B. Rokhlin* We...
We provide a dynamic programming principle for stochastic optimal control problems with expectation ...
We provide a dynamic programming principle for stochastic optimal control problems with expectation ...
We establish uniqueness of viscosity solutions for some boundary value problems arising from stochas...
We present a method for finding a stationary solution to the Hamilton-Jacobi-Bellman (HJB) equation ...
The paper is concerned with fully nonlinear second order Hamilton--Jacobi--Bellman-- Isaacs equation...
We consider a stochastic optimal control problem originating from a classical portfolio liquidation ...
This paper deals with a class of stochastic optimal control problems (SOCPs) in the presence of stat...
This paper is concerned with an optimal control problem where the state is constrained to stay eithe...
We study a family of optimal control problems under a set of controlled-loss constraints holding at ...
In this paper we extend the work presented in our previous papers (2001) where we considered optimal...