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10篇 您的检索式：作者名="Lubin Chang"

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		题名	作者	年代	出处	被引量
	1	Transformed Unscented Kalman Filter 显示文摘	Chang Lubin Hu Baiqing Li An	2013	IEEE Transactions on Automatic Contro\|2013，58，1：	1
	2	Strapdown inertial navigation system alignment based on marginalized unscented Kalman fiter显示文摘	Lubin Chang Baiqing Huj An Li	2013	IET Science Measurement and Technology2013，7，2：	1
	3	Strapdown inertial navigation system alignment based on marginalised unscented kalman filter显示文摘	Chang Lubin Hu Baiqing Li An	2013	IET Science Measurement and Technology2013，7，2：	1
	4	Huber-based novel robust unscented Kalman filter显示文摘	Lubin Chang Baiqing Hu An Li	2012	IET Science Measurement and Technology2012，6，6：	1
	5	Multiple outliers suppression derivative-free filter based on unscented transformation显示文摘	Lubin Chang Baiqing Hu An Li	2012	Journal of Guidance Control and Dynamics2012，35，6：	1
	6	TransformedUnscented Kalman Filter 显示文摘	Chang Lubin Hu Baiqing An Li and Qin Fangjun	2013	IEEE Transactions on AutomaticControl2013，58，2：	1
	7	Marginal-ized Iterated Unscented Kalman Filter 显示文摘	Chang Lubin Hu Baiqing Chang Guobin and Li An	2012	IET Control Theory &Applications2012，6，6：	1
	8	Huber -based Novel Robust Unscented Kalman Filter 显示文摘	Chang Lubin Hu Baiqing Chang Guobin and Li An	2012	IET Science Measurement and Technology2012，6，6：	1
	9	Synthesis and photophysical of poly(aryl imino) contaiing acridine units (PAIA) 显示文摘	Chang Guanjun Jiao Wenxiu Miao Lubin	2009	Chinese Polymer Science2009，27，6：	1
	10	Interlaced Attitude Estimation for Spacecraft Using Vector Observations显示文摘This paper proposes an interlaced attitude estimation method for spacecraft using vector observations,which can simultaneously estimate the constant attitude at the very start and the attitude of the body frame relative to its initial state.The arbitrary initial attitude,described by constant attitude at the very start,is determined using quaternion estimator which requires no prior information.The multiplicative extended Kalman-lter(EKF)is competent for estimating the attitude of the body frame relative to its initial state since the initial value of this attitude is exactly known.The simulation results show that the proposed algorithms could achieve better performance compared with the state-of-the-art algorithms even with extreme large initial errors.Meanwhile,the computational burden is also much less than that of the advanced nonlinear attitude estimators.	Lubin Chang	2021	Guidance, Navigation and Control2021，1，3：	0

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