AN ACTIVE NOISE CONTROLLER USING TYPE-2 FUZZY NEURAL NETWORK

Huỳnh Văn Tuấn, Trần Quốc Cường, Dương Hoài Nghĩa, Nguyễn Hữu Phương

Abstract


SUMMARY

This paper presents a feedback active noise control system using type-2 fuzzy neural network. The new features of the proposed system are: firstly we introduce a saturation compensator for the actuator and secondly we use a type 2 fuzzy neural network to estimate the nonlinearity of the secondary path transfer function. Online dynamic back-propagation learning algorithm based on the error gradient descent method is proposed. The condition of convergence of the proposed algorithm is derived using a discrete Lyapunov function. Simulation results show that the proposed method is effective.



DOI: https://doi.org/10.15625/0866-708X/48/2/1121 Display counter: Abstract : 31 views. PDF (Tiếng Việt) : 23 views.

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Published by Vietnam Academy of Science and Technology