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» On detectability of stochastic systems
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DATE
2007
IEEE
133views Hardware» more  DATE 2007»
16 years 16 days ago
Stochastic modeling and optimization for robust power management in a partially observable system
As the hardware and software complexity grows, it is unlikely for the power management hardware/software to have a full observation of the entire system status. In this paper, we ...
Qinru Qiu, Ying Tan, Qing Wu
RTAS
2011
IEEE
14 years 10 months ago
Deterministic and Stochastic QoS Provision for Real-Time Control Systems
—In this paper, we propose two adaptive scheduling approaches to support real-time control applications with highly varying computation times. The use of a resource reservation s...
Daniele Fontanelli, Luigi Palopoli, Luca Greco
ICMCS
2009
IEEE
183views Multimedia» more  ICMCS 2009»
15 years 3 months ago
Modeling the tele-immersive systems using stochastic activity network
The next-generation social communication medium, teleimmersion, is receiving increasing attention from both the research and industrial communities. It enables interaction between...
Rahul Malik, Wanmin Wu, Klara Nahrstedt
ICML
2006
IEEE
16 years 7 months ago
Predictive linear-Gaussian models of controlled stochastic dynamical systems
We introduce the controlled predictive linearGaussian model (cPLG), a model that uses predictive state to model discrete-time dynamical systems with real-valued observations and v...
Matthew R. Rudary, Satinder P. Singh
GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
15 years 10 months ago
Stochastic training of a biologically plausible spino-neuromuscular system model
A primary goal of evolutionary robotics is to create systems that are as robust and adaptive as the human body. Moving toward this goal often involves training control systems tha...
Stanley Phillips Gotshall, Terence Soule