Saeed Barghandan
Department of Electrical Engineering, Ahar Branch, Islamic Azad University, Ahar, Iran
[ 1 ] - Adaptive Inverse Control of Flexible Link Robot Using ANFIS Based on Type-2 Fuzzy
This paper presents a novel adaptive neuro-fuzzy inference system based on interval Gaussian type-2 fuzzy sets in the antecedent part and Gaussian type-1 fuzzy sets as coefficients of linear combination of input variables in the consequent part. The capability of the proposed ANFIS2 for function approximation and dynamical system identification is remarkable. The structure of ANFIS2 is very sim...
[ 2 ] - Using Tracking Differentiators in Designing Nonlinear Disturbance Observers for Uncertain Systems
Using Tracking Differentiators in Designing Nonlinear Disturbance Observers for Uncertain SystemsNaser Kazemzadeh, Saeed BarghandanAbstractIn 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 perform...
[ 3 ] - Design of a Model Reference Adaptive Controller Using Modified MIT Rule for a Second Order System
Sometimes conventional feedback controllers may not perform well online because of the variation in process dynamics due to nonlinear actuators, changes in environmental conditions and variation in the character of the disturbances. To overcome the above problem, this paper deals with the designing of a controller for a second order system with Model Reference Adaptive Control (MRAC) scheme usi...
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