标题:Identification for Bouc-Wen hysteresis system with hopfield neural network
作者:Xuehui, Gao ;Bo, Sun
作者机构:[Xuehui, Gao ] Department of Mechanical and Electrical Engineering, Shandong University of Science and Technology, Tai'an, Shandong; 271019, China;[Bo 更多
会议名称:9th International Conference on Modelling, Identification and Control, ICMIC 2017
会议日期:July 10, 2017 - July 12, 2017
来源:Proceedings of 2017 9th International Conference On Modelling, Identification and Control, ICMIC 2017
出版年:2018
卷:2018-March
页码:248-253
DOI:10.1109/ICMIC.2017.8321648
摘要:A new Hopfield neural Network (HNN) identification method is proposed for hysteresis nonlinear systems to estimate the coefficients of the systems. Firstly, a Bouc-Wen model is applied to describe the hysteresis nonlinearity. Then, a nonlinear system model is employed with the unknown parameters of the state-space equation and a new HNN is designed to identify the unknown parameters of the hysteresis nonlinear system. Finally, The detail of identification with HNN is demonstrated and Simulation results verify effectiveness of the proposed identification method.
© 2017 IEEE.
收录类别:EI
资源类型:会议论文
TOP