A Robust State Estimator with Adaptive Factor
文献类型:期刊论文
作者 | Sun, Minxing1,2,3; Mao, Yao1,2; Liu, Huabo3 |
刊名 | IEEE Access
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出版日期 | 2020-07-12 |
卷号 | 8页码:144514-144521 |
关键词 | Robustness Uncertainty Kalman filters Licenses Observers Computational modeling Adaptive estimation chi-square tests robust state estimation |
ISSN号 | 2169-3536 |
DOI | 10.1109/ACCESS.2020.3015228 |
文献子类 | 期刊论文 |
英文摘要 | This article proposes a robust state estimator with adaptively adjusted observation noise covariance for uncertain linear systems. Since the residuals between observation data and estimation data satisfying the normal distribution, the Mahalanobis distance are known to be Chi-square distributed. We use Chi-square tests to timely distinguish outliers that beyond the confidence interval and adjust the estimated observation noise covariance to a more likely value. Combined with the robust estimation method, an improved algorithm is derived to deal with uncertainties in both system parameters and observation noise covariance. Based on the proposed prediction form, we test the obtained robust state estimator with different deterioration conditions of observation noise covariance and compare it with the estimators without adaptive factor. The simulation results show that the derived state estimator may reduce the accumulation of estimation errors, smooth the estimated state curve, and the performance of the proposed estimator can be significantly improved as the deterioration enlarging. © 2013 IEEE. |
出版地 | PISCATAWAY |
WOS关键词 | OBSERVERS DESIGN ; KALMAN FILTER ; SYSTEMS ; NETWORKS ; SENSOR ; NOISE |
WOS研究方向 | Computer Science ; Engineering ; Telecommunications |
语种 | 英语 |
WOS记录号 | WOS:000560345400001 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
源URL | [http://ir.ioe.ac.cn/handle/181551/10052] ![]() |
专题 | 光电技术研究所_光电工程总体研究室(一室) |
作者单位 | 1.Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu; 610209, China 2.Key Laboratory of Optical Engineering, Chinese Academy of Sciences, Chengdu; 610209, China; 3.School of Automation, Qingdao University, Qingdao; 266071, China; |
推荐引用方式 GB/T 7714 | Sun, Minxing,Mao, Yao,Liu, Huabo. A Robust State Estimator with Adaptive Factor[J]. IEEE Access,2020,8:144514-144521. |
APA | Sun, Minxing,Mao, Yao,&Liu, Huabo.(2020).A Robust State Estimator with Adaptive Factor.IEEE Access,8,144514-144521. |
MLA | Sun, Minxing,et al."A Robust State Estimator with Adaptive Factor".IEEE Access 8(2020):144514-144521. |
入库方式: OAI收割
来源:光电技术研究所
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