In this work, we are interested in the necessary conditions of optimality in stochastic optimal control whose system is controlled by a martingale measure. These necessary conditions will be established with theorems of approximations. In the first chapter, we were interested in certain definitions, properties and the construction of martingales measures and then we give results of extension of this problem. In the second chapter, one considers theorems of approximation of martingales measures by stochastic integrals with respect to the Brownian motion and convergence within the meaning of L2 between the initial and the relaxed problems. In the final chapter, one defines the problem of relaxed stochastic co...
Abstract—In this paper, we consider a class of stochas-tic optimal control problems with risk constr...
We provide sufficient conditions that guarantee the existence of relaxed optimal controls in the wea...
Abstract—In this paper, we consider a class of stochastic optimal control problems with risk constra...
We study the relaxed optimal stochastic control problem for systems governed by stochastic different...
We study a class of robust, or worst case scenario, optimal control problems for jump diffusions. Th...
Bibliography: leaves 30-33."January, 1979."U.S. Air Force Office of Sponsored Research Grant AFOSR 7...
This thesis presents two research topics, the first one being divided into two parts. In the first p...
We consider a stochastic maximum principle of optimal control for a control problem associated with ...
This thesis consists of four papers treating the maximum principle for stochastic control problems. ...
This paper provides new insights into the solution of optimal stochastic control problems by means o...
This thesis consists of two papers concerning necessary conditions in stochas-tic control problems. ...
This paper provides new insights into the solution of optimal stochastic control problems by means o...
This paper provides new insights into the solution of optimal stochastic control problems by means o...
AbstractIn a previous paper we gave a new, natural extension of the calculus of variations/optimal c...
We study a singular control problem where the state process is governed by an Ito stochastic differ...
Abstract—In this paper, we consider a class of stochas-tic optimal control problems with risk constr...
We provide sufficient conditions that guarantee the existence of relaxed optimal controls in the wea...
Abstract—In this paper, we consider a class of stochastic optimal control problems with risk constra...
We study the relaxed optimal stochastic control problem for systems governed by stochastic different...
We study a class of robust, or worst case scenario, optimal control problems for jump diffusions. Th...
Bibliography: leaves 30-33."January, 1979."U.S. Air Force Office of Sponsored Research Grant AFOSR 7...
This thesis presents two research topics, the first one being divided into two parts. In the first p...
We consider a stochastic maximum principle of optimal control for a control problem associated with ...
This thesis consists of four papers treating the maximum principle for stochastic control problems. ...
This paper provides new insights into the solution of optimal stochastic control problems by means o...
This thesis consists of two papers concerning necessary conditions in stochas-tic control problems. ...
This paper provides new insights into the solution of optimal stochastic control problems by means o...
This paper provides new insights into the solution of optimal stochastic control problems by means o...
AbstractIn a previous paper we gave a new, natural extension of the calculus of variations/optimal c...
We study a singular control problem where the state process is governed by an Ito stochastic differ...
Abstract—In this paper, we consider a class of stochas-tic optimal control problems with risk constr...
We provide sufficient conditions that guarantee the existence of relaxed optimal controls in the wea...
Abstract—In this paper, we consider a class of stochastic optimal control problems with risk constra...