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Adaptive RBF Neural Network Control

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Abstract

Since the idea of the computational abilities of networks composed of simple models of neurons was introduced in the 1940s [1], neural network techniques have undergone great developments and have been successfully applied in many fields such as learning, pattern recognition, signal processing, modeling, and system control.

References

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    A.C. Huang, Y.C. Chen, Adaptive sliding control for single-link flexible joint robot with mismatched uncertainties. IEEE Trans. Control Syst. Technol. 12(5), 770–775 (2004)CrossRefGoogle Scholar

Copyright information

© Tsinghua University Press, Beijing and Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Beihang UniversityBeijingChina

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