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EURONGI
2005
Springer
14 years 1 months ago
An Afterstates Reinforcement Learning Approach to Optimize Admission Control in Mobile Cellular Networks
We deploy a novel Reinforcement Learning optimization technique based on afterstates learning to determine the gain that can be achieved by incorporating movement prediction inform...
José Manuel Giménez-Guzmán, J...
CDC
2009
IEEE
144views Control Systems» more  CDC 2009»
13 years 11 months ago
Stochastic control over finite capacity channels: Causality, feedback and uncertainty
Abstract-- Optimal communication/control analysis and design of dynamical controlled systems, when there are finite capacity communication constraints often involve information and...
Charalambos D. Charalambous, Christos K. Kourtella...
TR
2010
126views Hardware» more  TR 2010»
13 years 2 months ago
Optimal Maintenance Strategies for Wind Turbine Systems Under Stochastic Weather Conditions
Abstract--We examine optimal repair strategies for wind turbines operated under stochastic weather conditions. In-situ sensors installed at wind turbines produce useful information...
Eunshin Byon, Lewis Ntaimo, Yu Ding
ETFA
2006
IEEE
14 years 2 months ago
Optimizing Quality of Control in Networked Automation Systems using Probabilistic Models
New technological trends lead to the increasing use of network technologies in automation. Especially the Ethernet with TCP/IP and wireless networks find growing acceptance. The r...
Jürgen Greifeneder, Georg Frey
IOR
2011
220views more  IOR 2011»
13 years 3 months ago
Optimal Inventory Policies when Purchase Price and Demand Are Stochastic
In this paper we consider the problem of a firm that faces a stochastic (Poisson) demand and must replenish from a market in which prices fluctuate, such as a commodity market. ...
Peter Berling, Victor Martínez-de-Alb&eacut...