Adaptive control of Wiener-type nonlinear systems using neural networks

Osamu Yamanaka, Naoto Yoshizawa, Hiromitsu Ohmori, Akira Sano

研究成果: Article査読


This paper proposes new adaptive control schemes with neural networks for Weiner-type nonlinear systems which have output nonlinearity. First, by adopting a robust adaptive control law and a functional link network (FLN), we present an adaptive linearizing scheme as a primary step for a model reference control scheme, where the FLN compensates the output nonlinearity. Second, we analyze the stability of the adaptive linearizing scheme by using a robust adaptive control technique, and demonstrate that all of the parameters are bounded and that the boundedness of all of the signals in the closed loop is guaranteed under some reasonable conditions. Third, based on the linearizing scheme, we present a new direct model reference adaptive control scheme by choosing the reference output appropriately. The stability of the system is guaranteed under several conditions in a similar manner. Finally, we illustrate the effectiveness of the proposed scheme through some numerical examples.

ジャーナルElectrical Engineering in Japan (English translation of Denki Gakkai Ronbunshi)
出版ステータスPublished - 1998 1月 1

ASJC Scopus subject areas

  • エネルギー工学および電力技術
  • 電子工学および電気工学


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