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» Monte Carlo simulation approach to stochastic programming
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CDC
2009
IEEE
131views Control Systems» more  CDC 2009»
15 years 1 months ago
Further results on plant parameter identification using continuous-time multiple-model adaptive estimators
This paper describes a deterministic approach to adaptive state and parameter estimation using a multiple model structure. In the set-up adopted, the plant of interest is described...
Vahid Hassani, A. Pedro Aguiar, António Man...
FPL
2008
Springer
111views Hardware» more  FPL 2008»
14 years 11 months ago
Sampling from the exponential distribution using independent Bernoulli variates
The exponential distribution is a key distribution in many event-driven Monte-Carlo simulations, where it is used to model the time between random events in the system. This paper...
David B. Thomas, Wayne Luk
NECO
2007
108views more  NECO 2007»
14 years 9 months ago
Spike-Frequency Adapting Neural Ensembles: Beyond Mean Adaptation and Renewal Theories
We propose a Markov process model for spike-frequency adapting neural ensembles which synthesizes existing mean-adaptation approaches, population density methods, and inhomogeneou...
Eilif Mueller, Lars Buesing, Johannes Schemmel, Ka...
VTC
2010
IEEE
157views Communications» more  VTC 2010»
14 years 7 months ago
Cross-Layer Solutions for Cooperative Medium Access Control Protocols
— Recent studies have shown that designing a Medium Access Control (MAC) protocol combined with a cooperative approach may improve the attainable network throughput, despite redu...
Alessandro Crismani, Fulvio Babich, Lajos Hanzo
TITS
2008
96views more  TITS 2008»
14 years 9 months ago
A Sampling Theorem Approach to Traffic Sensor Optimization
Abstract--With the objective of minimizing the total cost, which includes both sensor and congestion costs, the authors adopted a novel sampling theorem approach to address the pro...
Woei Ling Leow, Daiheng Ni, Hossein Pishro-Nik