Add to ORKGApproximation, estimation and control of stochastic systems under a randomized discounted cost criterio
Abstract: The article discusses the mathematical model for the stochastic approximation of reliabili...
In this paper, we survey several recent developments on non- standard optimality criteria for contro...
This thesis is concerned with the solution of a specific optimal control problem. Because of the eff...
summary:The paper deals with a class of discrete-time stochastic control processes under a discounte...
summary:The paper deals with a class of discrete-time stochastic control processes under a discounte...
The paper deals with a class of discrete-time stochastic control pro-cesses under a discounted optim...
summary:The paper deals with a class of discrete-time stochastic control processes under a discounte...
We consider a class of discrete-time stochastic control systems, with Borel state and action spaces,...
summary:We consider a class of discrete-time Markov control processes with Borel state and action sp...
abstract (abridged): many of the present problems in automatic control economic systems and living o...
Abstract|New algorithms for stochastic approximation under input disturbance are designed. For the m...
Among the deterministic policies for the optimal control of stochastic systems the best one is of cl...
This article considers the problem of analyzing the performance of model predictive controllers in m...
A class of Markov decision processes is considered with a finite state and action space and with an ...
The Markov chain approximation method is a widely used and efficient family of methods for the numer...
Abstract: The article discusses the mathematical model for the stochastic approximation of reliabili...
In this paper, we survey several recent developments on non- standard optimality criteria for contro...
This thesis is concerned with the solution of a specific optimal control problem. Because of the eff...
summary:The paper deals with a class of discrete-time stochastic control processes under a discounte...
summary:The paper deals with a class of discrete-time stochastic control processes under a discounte...
The paper deals with a class of discrete-time stochastic control pro-cesses under a discounted optim...
summary:The paper deals with a class of discrete-time stochastic control processes under a discounte...
We consider a class of discrete-time stochastic control systems, with Borel state and action spaces,...
summary:We consider a class of discrete-time Markov control processes with Borel state and action sp...
abstract (abridged): many of the present problems in automatic control economic systems and living o...
Abstract|New algorithms for stochastic approximation under input disturbance are designed. For the m...
Among the deterministic policies for the optimal control of stochastic systems the best one is of cl...
This article considers the problem of analyzing the performance of model predictive controllers in m...
A class of Markov decision processes is considered with a finite state and action space and with an ...
The Markov chain approximation method is a widely used and efficient family of methods for the numer...
Abstract: The article discusses the mathematical model for the stochastic approximation of reliabili...
In this paper, we survey several recent developments on non- standard optimality criteria for contro...
This thesis is concerned with the solution of a specific optimal control problem. Because of the eff...