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Volume 24 Issue 3
Mar.  2002
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Li Ying, Bai Bendu, Jiao Licheng. A model identification approach of nonlinear-systems based on fuzzy neural networks[J]. Journal of Electronics & Information Technology, 2002, 24(3): 355-360.
Citation: Li Ying, Bai Bendu, Jiao Licheng. A model identification approach of nonlinear-systems based on fuzzy neural networks[J]. Journal of Electronics & Information Technology, 2002, 24(3): 355-360.

A model identification approach of nonlinear-systems based on fuzzy neural networks

  • Received Date: 2000-01-12
  • Rev Recd Date: 2000-11-16
  • Publish Date: 2002-03-19
  • This paper presents a model identification approach of nonlinear-systems. Through structure identification (learning) and parameter identification (learning), a fuzzy neural network is constructed. Having adjusted the weights of the fuzzy neural network, a precise fuzzy model is obtained. Finally, the effectiveness of the proposed technique is confirmed by the simulation results of two nonlinear systems.
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