A blind approach to identification of Hammerstein-Wiener systems corrupted by nonlinear-process noise | |
Wang, Jiandong ; Chen, Tongwen ; Wang, Long | |
2009 | |
关键词 | ALGORITHM MODEL |
英文摘要 | This paper proposes a new blind approach to identification of Hammerstein-Wiener models, where a linear dynamics is embedded between two static nonlinearities. The blind approach directly aims at estimating immeasurable inner input and output, with noise effects in consideration. By exploiting input's piece-wise constant property, the parameters of the inverse output nonlinearity and the denominator of the linear dynamics are consistently identified via an iterative instrumental-variable-based method from the output measurements only; next, a subspace direct equalization method estimates the immeasurable inner input The blind approach does not require an explicit parametrization of the input nonlinearity; moreover, the input nonlinearities are more general than static nonlinearities and may include finite-memory nonlinearities such as hysteresis-relay and hysteresis backlash. The proposed blind approach is validated and compared with the blind approach proposed by Bai in 2002 through numerical simulations.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000274323100234&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Automation & Control Systems; Computer Science, Interdisciplinary Applications; Computer Science, Theory & Methods; EI; CPCI-S(ISTP); 4 |
语种 | 英语 |
内容类型 | 会议论文 |
源URL | [http://ir.pku.edu.cn/handle/20.500.11897/316501] |
专题 | 工学院 |
推荐引用方式 GB/T 7714 | Wang, Jiandong,Chen, Tongwen,Wang, Long. A blind approach to identification of Hammerstein-Wiener systems corrupted by nonlinear-process noise[C]. 见:. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论