526 search results - page 6 / 106 » Stochastic Controllability of Linear Systems With State Dela... |
ISCAS
2005
IEEE
14 years 1 months ago
2005
IEEE
— This paper considers the application of the neural networks for the guaranteed cost control problem of discrete– time uncertain systems that have in both state and input dela...
CDC
2009
IEEE
14 years 6 days ago
2009
IEEE
— In this paper we present a gradient method to iteratively update local controllers of a distributed linear system driven by stochastic disturbances. The control objective is to...
UAI
2008
13 years 9 months ago
2008
Bounded policy iteration is an approach to solving infinitehorizon POMDPs that represents policies as stochastic finitestate controllers and iteratively improves a controller by a...
CDC
2010
IEEE
13 years 2 months ago
2010
IEEE
The Markov chain approximation method is an effective and widely used approach for computing optimal values and controls for stochastic systems. It was extended to nonlinear (and p...
AUTOMATICA
2008
13 years 7 months ago
2008
It is well known that stochastic control systems can be viewed as Markov decision processes (MDPs) with continuous state spaces. In this paper, we propose to apply the policy iter...