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» Using model knowledge for learning inverse dynamics
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ASC
2007
15 years 3 months ago
An approximate stability analysis of nonlinear systems described by Universal Learning Networks
Stability is one of the most important subjects in control systems. As for the stability of nonlinear dynamical systems, Lyapunov’s direct method and linearized stability analys...
Kotaro Hirasawa, Shingo Mabu, Shinji Eto, Jinglu H...
IJET
2007
121views more  IJET 2007»
15 years 3 months ago
A Technology Based Program That Matches Enrichment Resources With Student Strengths
Remarkable advances in instructional communication technology (ICT) have now made is possible to provide high levels of enrichment and the kinds of curricular differentiation that...
Joseph S. Renzulli, Sally M. Reis
PRL
2011
14 years 10 months ago
Consistency of functional learning methods based on derivatives
In some real world applications, such as spectrometry, functional models achieve better predictive performances if they work on the derivatives of order m of their inputs rather t...
Fabrice Rossi, Nathalie Villa-Vialaneix
CORR
2010
Springer
142views Education» more  CORR 2010»
15 years 3 months ago
The Accuracy of Tree-based Counting in Dynamic Networks
Tree-based protocols are ubiquitous in distributed systems. They are flexible, they perform generally well, and, in static conditions, their analysis is mostly simple. Under churn...
Supriya Krishnamurthy, John Ardelius, Erik Aurell,...
156
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TCAD
2008
167views more  TCAD 2008»
15 years 3 months ago
System-Level Dynamic Thermal Management for High-Performance Microprocessors
Abstract--Thermal issues are fast becoming major design constraints in high-performance systems. Temperature variations adversely affect system reliability and prompt worst-case de...
Amit Kumar 0002, Li Shang, Li-Shiuan Peh, Niraj K....