| 查看: 837 | 回复: 3 | ||
| 本帖产生 1 个 LS-EPI ，点击这里进行查看 | ||
| 当前只显示满足指定条件的回帖，点击这里查看本话题的所有回帖 | ||
dzl1986木虫 (初入文坛)
|
[求助]
求助EI检索
|
|
|
各位虫友好，我今年4月份在《系统工程与电子技术》（中文版）上发表了一篇文章，不知道现在是否已经EI检索。求好心人帮忙查下，在此先谢过了。 论文信息如下： 题目：Multiple fading factors strong tracking SCKF and its application in fault parameters estimation 作者：DU Zhan-long; LI Xiao-min 刊名: Systems Engineering and Electronics. 注，这个期刊是中文的 |
回复此楼» 猜你喜欢
085410 273分调剂
已经有3人回复
-
291分调剂
已经有5人回复
-
计算机22408 281分，求调剂
已经有3人回复
-
305求调剂
已经有5人回复
-
调剂
已经有3人回复
-
316求调剂
已经有4人回复
-
304求调剂（085602，过四级，一志愿985）
已经有27人回复
-
270求调剂
已经有3人回复
-
312求调剂
已经有4人回复
-
272分材料子求调剂
已经有40人回复
dzl1986
木虫 (初入文坛)
- 应助: 0 (幼儿园)
- 金币: 2421.9
- 散金: 164
- 帖子: 45
- 在线: 55.3小时
- 虫号: 2040814
- 注册: 2012-10-02
- 性别: GG
- 专业: 人工智能与知识工程
送红花一朵 3楼2014-06-22 15:05:30
sunshan4379
版主 (文坛精英)
- LS-EPI: 131
- 应助: 218 (大学生)
- 贵宾: 7.08
- 金币: 129140
- 散金: 57852
- 红花: 419
- 沙发: 1036
- 帖子: 17124
- 在线: 4575.2小时
- 虫号: 2420830
- 注册: 2013-04-16
- 性别: GG
- 专业: 逻辑学
- 管辖: 检索知识
【答案】应助回帖
★ ★ ★ ★ ★
感谢参与，应助指数 +1
dzl1986: 金币+5, ★★★★★最佳答案 2014-06-22 15:11:34
jssxh: 金币+3, 检索EPI+1, 谢谢参与，请继续关注本版块！ 2014-06-22 19:36:27
oven1986: 金币-3, 不需奖励金币。 2014-06-22 22:30:42
感谢参与，应助指数 +1
dzl1986: 金币+5, ★★★★★最佳答案 2014-06-22 15:11:34
jssxh: 金币+3, 检索EPI+1, 谢谢参与，请继续关注本版块！ 2014-06-22 19:36:27
oven1986: 金币-3, 不需奖励金币。 2014-06-22 22:30:42
|
Accession number: 20142117744547 Title: Multiple fading factors strong tracking SCKF and its application in fault parameter estimation Authors: Du, Zhan-Long1 Email author mysky110@tom.com; Li, Xiao-Min1 Email author lxmfy2000@263.net Author affiliation: 1 Department of Unmanned Aerial Vehicle Engineering, Ordnance Engineering College, Shijiazhuang 050003, China Corresponding author: Du, Z.-L. (mysky110@tom.com) Source title: Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics Abbreviated source title: Xi Tong Cheng Yu Dian Zi Ji Shu/Syst Eng Electron Volume: 36 Issue: 4 Issue date: April 2014 Publication year: 2014 Pages: 643-649 Language: Chinese ISSN: 1001506X CODEN: XGYDEM Document type: Journal article (JA) Publisher: Chinese Institute of Electronics Abstract: For unmeasured fault parameter estimation of nonlinear system, a state and parameter joint estimation algorithm based on multiple fading factors strong tracking square-root cubature Kalman filter (MSTSCKF) is presented. Under the basic theory framework of strong tracking filter, MSTSCKF introduces the multiple fading factors to adjust gain matrix in real time and avoids the problem that square-root cubature Kalman filter (SCKF) decreases in accuracy and even diverges when the changing function of fault parameters is unknown or fault parameters abruptly change. Meanwhile, MSTSCKF combines high nonlinear curve fitting and numerical stability of SCKF. The simulation results indicate that higher estimation accuracy is obtained compared with SCKF and strong tracking unscented Kalman filter (UKF). Number of references: 18 Main heading: Parameter estimation Controlled terms: Estimation - Kalman filters Uncontrolled terms: Fault parameters - ITS applications - Joint estimation - Multiple fading factors - Square-root cubature kalman filters - Strong tracking - Strong tracking filter - Unscented Kalman Filter Classification code: 731.1 Control Systems - 921 Mathematics DOI: 10.3969/j.issn.1001-506X.2014.04.06 Database: Compendex Compilation and indexing terms, © 2013 Elsevier Inc. |
» 本帖已获得的红花（最新10朵）
2楼2014-06-22 11:19:46
|
本帖内容被屏蔽 |
4楼2017-05-25 15:48:54
10