Adaptive sliding mode control with radial basis function neural network for time dependent disturbances and uncertainties

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Adaptive sliding mode control with radial basis function neural network for time dependent disturbances and uncertainties

A radial basis function neural network (RBFNN) based adaptive sliding mode controller is presented in this paper to cater for a 3-DOF robot manipulator with time-dependent uncertainties and disturbance. RBF is one of the most popular intelligent methods to approximate uncertainties due to its simple...

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Bibliographic Details
Main Authors:	Shanta, Mst. Nafisa Tamanna, Zainul Azlan, Norsinnira
Format:	Article
Language:	English English
Published:	Asian Research Publishing Network (ARPN) 2016
Subjects:	TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://irep.iium.edu.my/51750/ http://irep.iium.edu.my/51750/1/adaptive_sliding_mode_control.pdf http://irep.iium.edu.my/51750/4/51750_Adaptive%20sliding%20mode%20control.pdf

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