A blind approach to identification of Hammerstein-Wiener systems corrupted by nonlinear-process noise

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	A blind approach to identification of Hammerstein-Wiener systems corrupted by nonlinear-process noise
	Wang, Jiandong ; Chen, Tongwen ; Wang, Long
	2009
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-variablebased 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 hysteresisrelay and hysteresis backlash. The proposed blind approach is validated and compared with the blind approach proposed by Bai in 2002 through numerical simulations. ?2009 ACA.; EI; 1340-1345
会议录	2009 7th Asian Control Conference, ASCC 2009
语种	英语
内容类型	会议论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/461521]
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:.