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» Resampling methods for input modeling
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WSC
2004
13 years 8 months ago
Dependence Modeling for Stochastic Simulation
An important step in designing stochastic simulation is modeling the uncertainty in the input environment of the system being studied. Obtaining a reasonable representation of thi...
Bahar Biller, Soumyadip Ghosh
EMS
2008
IEEE
14 years 1 months ago
Vibration and Input Tracking Control of Flexible Manipulator Using LQR with Non-Collocated PID Controller
This paper presents investigations into the development of control schemes for end-point vibration suppression and input tracking of a flexible manipulator. A constrained planar s...
M. A. Ahmad
MICCAI
2002
Springer
14 years 8 months ago
Regularized Stochastic White Matter Tractography Using Diffusion Tensor MRI
The development of Diffusion Tensor MRI has raised hopes in the neuro-science community for in vivo methods to track fiber paths in the white matter. A number of approaches have be...
Mats Björnemo, Anders Brun, Ron Kikinis, Carl...
HCI
2011
12 years 11 months ago
A Methodical Approach for Developing Valid Human Performance Models of Flight Deck Operations
Validation is critically important when human performance models are used to predict the effect of future system designs on human performance. A model of flight deck operations was...
Brian F. Gore, Becky L. Hooey, Nancy Haan, Deborah...
ICPR
2006
IEEE
14 years 8 months ago
Direct Mapping of Visual Input to Motor Torques
Most methods for visual control of robots formulate the robot command in joint or Cartesian space. To move the robot these commands are remapped to motor torques usually requiring...
Jeremiah J. Neubert, Nicola J. Ferrier