Identification of nonlinear aeroelastic system using fuzzy wavelet neural network
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- 作者：Liqian Dou douliqian@tju.edu.com" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Ran Ji ; xiaochaoshide@163.com" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Jingqi GaoAuthor Vitae
- 关键词：Nonlinear aeroelastic system ; Fuzzy wavelet neural network ; Sliding mode algorithm ; Lyapunov stability theory
- 刊名：Neurocomputing
- 出版年：2016
- 出版时间：19 November 2016
- 年：2016
- 卷：214
- 期：Complete
- 页码：935-943
- 全文大小：2159 K
文摘
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The identified AE system considers all of stiffness, damping non-linearity, dead zones and uncertainties.
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We propose a novel, fuzzy wavelet neural network (FWNN) structure.
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The structure is characterized by a set of fuzzy IF–THEN rules.
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The sliding mode algorithm based on Lyapunov stability theory is introduced to obtain parameter update rules.