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ICML
2009
IEEE
16 years 1 months ago
Robot trajectory optimization using approximate inference
The general stochastic optimal control (SOC) problem in robotics scenarios is often too complex to be solved exactly and in near real time. A classical approximate solution is to ...
Marc Toussaint
INFOCOM
2005
IEEE
15 years 6 months ago
Power control for OSNR optimization in optical networks: a distributed algorithm via a central cost approach
— This paper addresses the problem of optical signal-to-noise ratio (OSNR) optimization in optical networks. An analytical OSNR network model is developed for a general multi-lin...
L. Pavel
MCSS
2008
Springer
14 years 12 months ago
Maximal solution to algebraic Riccati equations linked to infinite Markov jump linear systems
In this paper we deal with a perturbed algebraic Riccati equation in an infinite dimensional Banach space. Besides the interest in its own right, this class of equations appears, ...
Jack Baczynski, Marcelo D. Fragoso
MSOM
2008
103views more  MSOM 2008»
14 years 12 months ago
Facility Location with Stochastic Demand and Constraints on Waiting Time
We analyze the problem of optimal location of a set of facilities in the presence of stochastic demand and congestion. Customers travel to the closest facility to obtain service; ...
Opher Baron, Oded Berman, Dmitry Krass
AUTOMATICA
2008
74views more  AUTOMATICA 2008»
15 years 17 days ago
Policy iteration based feedback control
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...
Kan-Jian Zhang, Yan-Kai Xu, Xi Chen, Xi-Ren Cao