Heydari, P., Khaloozadeh, H., Heydari, A. (2630). Gyroscope Random Drift Modeling, using Neural Networks, Fuzzy Neural and Traditional Time- series Methods. Journal of Aerospace Science and Technology, 6(1), 35-44.
P. Heydari; H. Khaloozadeh; A.P. Heydari. "Gyroscope Random Drift Modeling, using Neural Networks, Fuzzy Neural and Traditional Time- series Methods". Journal of Aerospace Science and Technology, 6, 1, 2630, 35-44.
Heydari, P., Khaloozadeh, H., Heydari, A. (2630). 'Gyroscope Random Drift Modeling, using Neural Networks, Fuzzy Neural and Traditional Time- series Methods', Journal of Aerospace Science and Technology, 6(1), pp. 35-44.
Heydari, P., Khaloozadeh, H., Heydari, A. Gyroscope Random Drift Modeling, using Neural Networks, Fuzzy Neural and Traditional Time- series Methods. Journal of Aerospace Science and Technology, 2630; 6(1): 35-44.
Gyroscope Random Drift Modeling, using Neural Networks, Fuzzy Neural and Traditional Time- series Methods
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 of the random drift. Finally the different models are compared together and their advantages are discussed
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