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An adaptive teleoperate mobile robot controller based on fuzzy neural network

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5 Author(s)
Dacheng Liu ; Dept. of Precision Instrum., Tsinghua Univ., Beijing, China ; Liu Jia-Chen ; Bopeng Zhang ; Xu, J.Q.
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Fuzzy logic and neural networks have gained increased attention as methodologies of control system for managing uncertainty. There is computational equivalence between fuzzy logic and neural network systems. A new model of fuzzy neural network is built. Furthermore, the approach of fuzzy neural network is applied to solving the problem of autonomous control for a teleoperated mobile robot in an unknown environment. The new approach increases the learning speed, fine adjusts the rules, and improves the quality of the system

Published in:

Industrial Technology, 1996. (ICIT '96), Proceedings of The IEEE International Conference on

Date of Conference:

2-6 Dec 1996