Adaptive unscented Kalman filter for parameter and state estimation of nonlinear high-speed objects期刊界 All Journals 搜尽天下杂志传播学术成果专业期刊搜索期刊信息化学术搜索

Adaptive unscented Kalman filter for parameter and state estimation of nonlinear high-speed objects

Authors:	Fang Deng Jie Chen Chen Chen

Affiliation:	[1]School of Automation, Beijing Institute of Technology, Beijing 100081, China [2]Key Laboratory of Intelligent Control and Decision of Complex Systems, Beijing 100081, China

Abstract:	parameter estimation state estimation unscented Kalman filter （UKF） strong tracking filter wavelet transform.

Keywords:	parameter estimation state estimation unscented Kalman filter （UKF） strong tracking filter wavelet transform
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