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	Variable knot-based spline approximation recursive Bayesian algorithm for the identification of Wiener systems with process noise
刊名	NONLINEAR DYNAMICS
	2017
卷号	90期号:4页码:2293-2303
关键词	Parameter estimation Process noise Variable knots Spline function approximation
ISSN号	0924-090X
DOI	http://dx.doi.org/10.1007/s11071-017-3803-8
URL标识	查看原文
收录类别	SCI(E) ; EI
WOS记录号	WOS:000415111100006
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/5346635
专题	江苏大学
推荐引用方式 GB/T 7714	. Variable knot-based spline approximation recursive Bayesian algorithm for the identification of Wiener systems with process noise[J]. NONLINEAR DYNAMICS,2017,90(4):2293-2303.
APA	(2017).Variable knot-based spline approximation recursive Bayesian algorithm for the identification of Wiener systems with process noise.NONLINEAR DYNAMICS,90(4),2293-2303.
MLA	"Variable knot-based spline approximation recursive Bayesian algorithm for the identification of Wiener systems with process noise".NONLINEAR DYNAMICS 90.4(2017):2293-2303.

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