Gyroscope Random Drift Modeling, using Neural Networks, Fuzzy Neural and Traditional Time- series Methods

P. Heydari; H. Khaloozadeh; A.P. Heydari

Volume 6, Issue 1 , March 2009, , Pages 35-44

Abstract
  In this paper statistical and time series models are used for determining the random drift of a dynamically Tuned Gyroscope (DTG). This drift is compensated with optimal predictive transfer function. Also nonlinear neural-network and fuzzy-neural models are investigated for prediction and compensation ...  Read More