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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Main Authors: | Shanta, Mst. Nafisa Tamanna, Zainul Azlan, Norsinnira |
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Format: | Article |
Language: | English English |
Published: |
Asian Research Publishing Network (ARPN)
2016
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Subjects: | |
Online Access: | 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 http://irep.iium.edu.my/51750/ http://www.arpnjournals.org/jeas/research_papers/rp_2016/jeas_0316_3932.pdf |
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