The Design of Neuro-Fuzzy Control System Based on Data Fusion

Xiao Rong Fu

doi:10.4028/www.scientific.net/AMM.678.406

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 678The Design of Neuro-Fuzzy Control System Based on...

The Design of Neuro-Fuzzy Control System Based on Data Fusion

Abstract:

An adaptive neuro-fuzzy controller of nonlinear systems is presented based on data fusion method. It reduces the input dimension of the controller using data fusion technique and simplifies the fuzzy controller’s design. The fuzzy controller was designed with self-learning of neural networks. The simulation results show that the performance of the system is superior to that using conventional fuzzy controller. It is rewarding for the research on combination of data fusion method and intelligent control technique of nonlinear systems.

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Periodical:

Applied Mechanics and Materials (Volume 678)

Pages:

406-409

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.678.406

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Online since:

October 2014

Authors:

Xiao Rong Fu

Keywords:

Adaptive Neuro-Fuzzy Inference, Controller, Data Fusion, Nonlinear System

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