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Backstepping sliding mode control with self recurrent wavelet neural network observer for a novel coaxial twelve-rotor UAV

Qiao Guanyu Peng Cheng

高技术通讯（英文版）2018，Vol.24Issue(2)：142-148,7.

高技术通讯（英文版）2018，Vol.24Issue(2)：142-148,7.DOI:10.3772/j.issn.1006-6748.2018.02.004

Backstepping sliding mode control with self recurrent wavelet neural network observer for a novel coaxial twelve-rotor UAV

Qiao Guanyu ¹Peng Cheng²

作者信息

1. Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, P.R.China
2. University of Chinese Academy of Sciences, Beijing 100039, P.R.China
折叠

摘要

关键词

coaxial twelve-rotor UAV/backstepping sliding mode control (BSMC)/self re-current wavelet neural network ( SRWNN)/model uncertainties/external disturbances

Key words

coaxial twelve-rotor UAV/backstepping sliding mode control (BSMC)/self re-current wavelet neural network ( SRWNN)/model uncertainties/external disturbances

引用本文复制引用

Qiao Guanyu,Peng Cheng..Backstepping sliding mode control with self recurrent wavelet neural network observer for a novel coaxial twelve-rotor UAV[J].高技术通讯（英文版）,2018,24(2):142-148,7.

基金项目

Supported by the National Natural Science Foundation of China (No.11372309, 61304017), Science and Technology Development Plan Key Project of Jilin Province ( No.20150204074GX) and the Science and Technology Special Fund Project of Provincial Academy Cooperation (No.2017SYHZ00024). （No.11372309, 61304017）

高技术通讯（英文版）

OAEI

ISSN：1006-6748

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