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RBF neural network-based sliding mode vibration control of a flexible cantilever plate using laser displacement measurement (EI收录)
Qiu, Zhi-Cheng[1]; Zhang, Si-Ma[1]
刊名Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering
2017
卷号231页码:1492-1508
关键词Controllers Displacement measurement Elastic waves Experiments Hyperbolic functions Machine vibrations Nanocantilevers Piezoelectricity Sliding mode control Vibration control Vibrations (mechanical)
URL标识查看原文
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/2183885
专题华南理工大学
作者单位[1]School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, Guangdong Province, 510641, China
推荐引用方式
GB/T 7714
Qiu, Zhi-Cheng[1],Zhang, Si-Ma[1]. RBF neural network-based sliding mode vibration control of a flexible cantilever plate using laser displacement measurement (EI收录)[J]. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering,2017,231:1492-1508.
APA Qiu, Zhi-Cheng[1],&Zhang, Si-Ma[1].(2017).RBF neural network-based sliding mode vibration control of a flexible cantilever plate using laser displacement measurement (EI收录).Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering,231,1492-1508.
MLA Qiu, Zhi-Cheng[1],et al."RBF neural network-based sliding mode vibration control of a flexible cantilever plate using laser displacement measurement (EI收录)".Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 231(2017):1492-1508.
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