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COMPLEXITY
2007
93views more  COMPLEXITY 2007»
14 years 9 months ago
Guiding a self-adjusting system through chaos
: We study the parametric controls of self-adjusting systems with numerical models. We investigate the situation where the target dynamics changes slowly and passes through a chaot...
Alfred W. Hübler, Kirstin C. Phelps
BIOADIT
2004
Springer
15 years 3 months ago
Distributed Central Pattern Generator Model for Robotics Application Based on Phase Sensitivity Analysis
Abstract. A method is presented to predict phase relationships between coupled phase oscillators. As an illustration of how the method can be applied, a distributed Central Pattern...
Jonas Buchli, Auke Jan Ijspeert
BMCBI
2008
82views more  BMCBI 2008»
14 years 10 months ago
Studying the functional conservation of cis-regulatory modules and their transcriptional output
Background: Cis-regulatory modules (CRMs) are distinct, genomic regions surrounding the target gene that can independently activate the promoter to drive transcription. The activa...
Denis C. Bauer, Timothy L. Bailey
CDC
2009
IEEE
150views Control Systems» more  CDC 2009»
15 years 2 months ago
Cooperative adaptive sampling via approximate entropy maximization
— This work deals with a group of mobile sensors sampling a spatiotemporal random field whose mean is unknown and covariance is known up to a scaling parameter. The Bayesian pos...
Rishi Graham, Jorge Cortés
NN
2006
Springer
114views Neural Networks» more  NN 2006»
14 years 9 months ago
Modular learning models in forecasting natural phenomena
Modular model is a particular type of committee machine and is comprised of a set of specialized (local) models each of which is responsible for a particular region of the input s...
Dimitri P. Solomatine, Michael Baskara L. A. Siek