* This research was supported by a grant from the Greek Ministry of Industry and Technology.In this paper we study discrete-time, finite horizon stochastic systems with multivalued dynamics and obtain a necessary and sufficient condition for optimality using the dynamic programming method. Then we examine a nonlinear stochastic discrete-time system with feedback control constraints and for it, we derive a necessary and sufficient condition for optimality which we then use to establish the existence of an optimal policy
Some estimates for the approximation of optimal stochastic control problems by discrete time problem...
We show via the nonlinear semigroup theory in L1(R) that the 1-D dynamic programming equation associ...
In this paper, we investigate dynamic programming models with a discrete time and an infinite horizo...
Abstract. In this paper we study discrete-time, finite horizon stochastic systems with multivalued d...
International audienceThis paper deals with the stochastic control of nonlinear systems in the prese...
AbstractA necessary condition of a stochastic maximum principle type is given for an optimal solutio...
In this work, we consider the time discretization of stochastic optimal control problems. Under gene...
International audienceIn this work we consider the time discretization of stochastic optimal control...
International audienceIn this work we consider the time discretization of stochastic optimal control...
AbstractThis paper concerns a discrete-time Markov decision model with an infinite planning horizon....
The aim of this paper is to provide the proof of a Dynamic Programming Principle for a certain class...
In this paper, an approach to the finite-horizon optimal state-feedback control problem of nonlinear...
We consider the stochastic optimal control problem of nonlinear mean-field systems in discrete time....
AbstractThe well-known optimal linear feedback of the linear quadratic problem with jump Markov and ...
AbstractFinite and infinite planning horizon Markov decision problems are formulated for a class of ...
Some estimates for the approximation of optimal stochastic control problems by discrete time problem...
We show via the nonlinear semigroup theory in L1(R) that the 1-D dynamic programming equation associ...
In this paper, we investigate dynamic programming models with a discrete time and an infinite horizo...
Abstract. In this paper we study discrete-time, finite horizon stochastic systems with multivalued d...
International audienceThis paper deals with the stochastic control of nonlinear systems in the prese...
AbstractA necessary condition of a stochastic maximum principle type is given for an optimal solutio...
In this work, we consider the time discretization of stochastic optimal control problems. Under gene...
International audienceIn this work we consider the time discretization of stochastic optimal control...
International audienceIn this work we consider the time discretization of stochastic optimal control...
AbstractThis paper concerns a discrete-time Markov decision model with an infinite planning horizon....
The aim of this paper is to provide the proof of a Dynamic Programming Principle for a certain class...
In this paper, an approach to the finite-horizon optimal state-feedback control problem of nonlinear...
We consider the stochastic optimal control problem of nonlinear mean-field systems in discrete time....
AbstractThe well-known optimal linear feedback of the linear quadratic problem with jump Markov and ...
AbstractFinite and infinite planning horizon Markov decision problems are formulated for a class of ...
Some estimates for the approximation of optimal stochastic control problems by discrete time problem...
We show via the nonlinear semigroup theory in L1(R) that the 1-D dynamic programming equation associ...
In this paper, we investigate dynamic programming models with a discrete time and an infinite horizo...