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Journal of Artificial Intelligence in Electrical Engineering
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Kazemzadeh, N., Barghandan, S. (2016). Using Tracking Differentiators in Designing Nonlinear Disturbance Observers for Uncertain Systems. Journal of Artificial Intelligence in Electrical Engineering, 5(19), 1-9.
Nasser Kazemzadeh; Saeed Barghandan. "Using Tracking Differentiators in Designing Nonlinear Disturbance Observers for Uncertain Systems". Journal of Artificial Intelligence in Electrical Engineering, 5, 19, 2016, 1-9.
Kazemzadeh, N., Barghandan, S. (2016). 'Using Tracking Differentiators in Designing Nonlinear Disturbance Observers for Uncertain Systems', Journal of Artificial Intelligence in Electrical Engineering, 5(19), pp. 1-9.
Kazemzadeh, N., Barghandan, S. Using Tracking Differentiators in Designing Nonlinear Disturbance Observers for Uncertain Systems. Journal of Artificial Intelligence in Electrical Engineering, 2016; 5(19): 1-9.

Using Tracking Differentiators in Designing Nonlinear Disturbance Observers for Uncertain Systems

Article 7, Volume 5, Issue 19, Autumn 2016, Page 1-9  XML PDF (713.48 K)
Document Type: Original Article
Authors
Nasser Kazemzadeh; Saeed Barghandan email
Department of Electrical Engineering, Ahar Branch, Islamic Azad University, Ahar, Iran
Abstract
Using Tracking Differentiators in Designing Nonlinear Disturbance Observers for Uncertain Systems
Naser Kazemzadeh, Saeed Barghandan
Abstract
In the present paper, a practical designing method has been proposed for a novel class of NDOs based on TD. Such NDOs can nearly estimate all uncertain disturbances (specifically disturbances without prediction information). Regarding the outstanding performance of TD filter not requiring a precise dynamic model, the proposed NDO can estimate external disturbance and not modeled dynamics. The results showed the superiority of the proposed method in estimating disturbance and improvement of control quality.
Keywords: non-linear systems, uncertain disturbances, non-linear disturbance observer (NDO), tracking differentiator
Keywords
non-linear systems; uncertain disturbances; non-linear disturbance observer (NDO); tracking differentiator
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