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Dynamic back-propagation neural net for adaptive controller

  • Published:
Wuhan University Journal of Natural Sciences

Abstract

A kind of single-input single-output neural net adaptive controller (SISO-NNC) and its algorithm have been presented. For the computer simulation and the special requirements of control problem, we have improved traditional BP algorithm and solved the problem of local minimum to some extent. Using the SISO-NNC to control time-varying system, the simulation results show advantages of neural net controller in control field.

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Zhu Qiuping: born in 1946, Associate professor

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Qiuping, Z., Zhihao, F. & Yinbiao, H. Dynamic back-propagation neural net for adaptive controller. Wuhan Univ. J. Nat. Sci. 3, 196–200 (1998). https://doi.org/10.1007/BF02827551

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  • DOI: https://doi.org/10.1007/BF02827551

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