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» Matrix Normalization for Optimal Robot Design
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ICRA
1998
IEEE
126views Robotics» more  ICRA 1998»
13 years 8 months ago
Matrix Normalization for Optimal Robot Design
Good robot performance often relies upon the selection of design parameters that lead to a well conditioned Jacobian or impedance "design" matrix. In this paper, a new d...
Leo J. Stocco, S. E. Salcudean, F. Sassani
BMCBI
2007
174views more  BMCBI 2007»
13 years 4 months ago
Normalization method for metabolomics data using optimal selection of multiple internal standards
Background: Success of metabolomics as the phenotyping platform largely depends on its ability to detect various sources of biological variability. Removal of platform-specific so...
Marko Sysi-Aho, Mikko Katajamaa, Laxman Yetukuri, ...
GECCO
2010
Springer
165views Optimization» more  GECCO 2010»
13 years 6 months ago
Evolving robust controller parameters using covariance matrix adaptation
In this paper, the advantages of introducing an additional amount of tests when evolving parameters for specific purposes is discussed. A set of optimal PID-controller parameters...
Gerulf K. M. Pedersen, Martin V. Butz
MA
2010
Springer
132views Communications» more  MA 2010»
13 years 2 months ago
Model selection by sequentially normalized least squares
Model selection by the predictive least squares (PLS) principle has been thoroughly studied in the context of regression model selection and autoregressive (AR) model order estima...
Jorma Rissanen, Teemu Roos, Petri Myllymäki
ICRA
2009
IEEE
118views Robotics» more  ICRA 2009»
13 years 11 months ago
Design and implementation of a 9-axis inertial measurement unit
— We report on a 9-axis inertial measurement unit (IMU) which utilizes 3-axis angular velocity measurements from rate gyros and 6-axis linear acceleration measurements from three...
Pei-Chun Lin, Chi-Wei Ho