Adaptive Fuzzy Control Based on Fuzzy Neural Network for Uncertain Nonlinear Systems
نویسنده
چکیده
In this paper, an adaptive fuzzy controller based on fuzzy neural network is proposed for uncertain nonlinear systems. The main advantages are the simple design, no requirement of system model, and release of fixed universal range of fuzzy output. A fuzzy neural network is applied to on-line identify the control system and provide sufficient information of the adaptive laws for the proposed fuzzy controller. Finally, experimental results of a two-link robotic arm are given to verify the effectiveness of the proposed approach.
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