机构

• 数学与系统科学研究院 [2]
• 长春光学精密机械与物... [1]
• 自动化研究所 [1]

采集方式

• OAI收割 [4]

内容类型

• 期刊论文 [3]
• 会议论文 [1]

发表日期

• 2024 [1]
• 2011 [1]
• 2006 [1]
• 2001 [1]

学科主题

筛选

浏览/检索结果: 共4条，第1-4条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Data-Based Filters for Non-Gaussian Dynamic Systems With Unknown Output Noise Covariance 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 866-877 作者:  Elham Javanfar;  Mehdi Rahmani   |  收藏  |  浏览/下载：17/0  |  提交时间：2024/03/18 Data-based filter  maximum likelihood estimation  unknown covariance  weighted maximum likelihood estimation  weighted sum-of-norms clustering   Application of improved UKF algorithm in initial alignment of SINS (EI CONFERENCE) 会议论文  OAI收割 2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce, AIMSEC 2011, August 8, 2011 - August 10, 2011, Zhengzhou, China Su W. X. 收藏  |  浏览/下载：21/0  |  提交时间：2013/03/25 In order to improve the initial alignment accuracy and convergence rate of the SINS system  proposed the improved UKF algorithm (AUKF) based on the Unscented Kalman Filter (UKF). Noise statistical characteristics are mostly unknown in real systems  when it was effected by the initial value errors and dynamic model errors  AUKF algorithm can real-time adjust the covariance of the state vector and observation vector  and balance the right ratio of the state information and observation information in the filter results  thereby improving the system performance. The experimental results show: The Improved UKF Algorithm enhances the convergence speed and alignment accuracy effectively. 2011 IEEE.   Admissibilities of matrix linear estimators multivariate linear models 期刊论文  OAI收割 JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2006, 卷号: 136, 期号: 11, 页码: 3852-3870 作者:  Wu, Qi-Guang;  Noda, Kazuo   |  收藏  |  浏览/下载：16/0  |  提交时间：2018/07/30 estimable parameter matrix linear function  with and without normality assumption  unknown covariance matrix  necessary and sufficient conditions  quadratic matfix loss functions  space of all matrix estimators  restricted space of all matrix linear estimators   Admissibility and inadmissibility of a generalized Bayes unbiased estimator in a multivariate linear model 期刊论文  OAI收割 JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2001, 卷号: 93, 期号: 1-2, 页码: 197-210 作者:  Noda, K;  Wu, QG;  Shimizu, K   |  收藏  |  浏览/下载：18/0  |  提交时间：2018/07/30 estimable matrix function  parameter matrix  matrix loss functions  semiorder  unknown covariance matrix  James-Stein-type matrix estimators