期刊
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
卷 66, 期 3, 页码 1270-1277出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TAC.2020.2997315
关键词
Cost function; Pollution measurement; Robustness; Noise measurement; Kernel; Gaussian noise; Nonlinear systems; Maximum correntropy criterion (MCC); non-Gaussian noise; Rauch– Tung– Striebel (RTS) smoother
资金
- National Natural Science Foundation of China [61773133]
A new robust recursive fixed-interval smoother for nonlinear systems is proposed to handle non-Gaussian noise, with correntropy used to address such noise. Simulation results demonstrate the effectiveness of the proposed smoother in various non-Gaussian noise environments.
We propose a new robust recursive fixed-interval smoother for nonlinear systems under non-Gaussian process and measurement noises, i.e., the nominal Gaussian noise is polluted by large noise from unknown distributions. Taking advantage of correntropy in handling non-Gaussian noise, a robust Rauch-Tung-Striebel smoother is derived according to the maximum-correntropy-criterion-based cost functions with nonlinear functions linearized by their first-order Taylor series expansions, where two weights are utilized to adjust the estimation gains of forward filtering and backward smoothing, respectively. Simulation results demonstrate the effectiveness of the proposed smoother in the presence of various non-Gaussian process and measurement noises, especially the shot sequences and multimodal noise.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据