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» Modeling and Analysis of Probabilistic Timed Systems
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JIRS
2008
100views more  JIRS 2008»
13 years 7 months ago
Model-based Predictive Control of Hybrid Systems: A Probabilistic Neural-network Approach to Real-time Control
Abstract This paper proposes an approach for reducing the computational complexity of a model-predictive-control strategy for discrete-time hybrid systems with discrete inputs only...
Bostjan Potocnik, Gasper Music, Igor Skrjanc, Boru...
FLAIRS
2009
13 years 5 months ago
Multiagent Bayesian Forecasting of Time Series with Graphical Models
Time series are found widely in engineering and science. We study multiagent forecasting in time series, drawing from literature on time series, graphical models, and multiagent s...
Yang Xiang, James Smith, Jeff Kroes
NMR
2004
Springer
14 years 1 months ago
Probabilistic reasoning in dynamic multiagent systems
Probabilistic reasoning with multiply sectioned Bayesian networks (MSBNs) has been successfully applied in static domains under the cooperative multiagent paradigm. Probabilistic ...
Xiangdong An, Yang Xiang, Nick Cercone
RTCSA
2006
IEEE
14 years 1 months ago
Towards an Analysis of Garbage Collection Techniques for Embedded Real-Time Java Systems
From a real-time perspective, the Garbage Collector (GC) introduces unpredictable pauses that are not tolerated by real-time tasks. Real-time collectors eliminate this problem but...
M. Teresa Higuera-Toledano
JEC
2006
113views more  JEC 2006»
13 years 7 months ago
CyNC: A method for real time analysis of systems with cyclic data flows
The paper addresses a novel method for realtime analysis of systems with cyclic data flows. The presented method is based on Network Calculus principles, where upper and lower flo...
Henrik Schiøler, Jens Dalsgaard Nielsen, Ki...