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Model updating with constrained unscented Kalman filter for hybrid testing
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Executive Summary: Download Document
PI(s): Bin Wu
Dates: March 01, 2009 - September 01, 2013
Facility: Harbin Institute of Technology, Harbin, China
Organization(s): Harbin Institute of Technology, Harbin, China
Description:
The unscented Kalman filter (UKF) has been developed for nonlinear model parametric identification, and it assumes that the model parameters are symmetrically distributed about their mean values without any constrains. However, the parameters in many... (more)
Website(s): Model updating with constrained unscented Kalman filter (view)
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Tags (keywords):
  1. Hybrid Simulation
Data Re-use Status: This Project does not reuse data from other projects.