中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
沈阳自动化研究所 [2]
长春光学精密机械与物... [1]
采集方式
OAI收割 [3]
内容类型
会议论文 [2]
期刊论文 [1]
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2016 [1]
2011 [1]
2009 [1]
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Comparison of estimation and control methods for flexible needle in 2D
会议论文
OAI收割
28th Chinese Control and Decision Conference, CCDC 2016, Yinchuan, China, May 28-30, 2016
作者:
Zhao XG(赵新刚)
;
Guo, Hui
;
Ye D(叶丹)
;
Huo BY(霍本岩)
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  |  
浏览/下载:36/0
  |  
提交时间:2016/09/13
Flexible Needle
Feedback Linearization
AKF
UKF
AUKF
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.
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浏览/下载:25/0
  |  
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.
Adaptive UKF based tracking control for unmanned Trimaran vehicles
期刊论文
OAI收割
International Journal of Innovative Computing, Information & Control, 2009, 卷号: 5, 期号: 10(B), 页码: 3505-3515
作者:
Peng Y(彭艳)
;
Han JD(韩建达)
;
Huang QJ(黄庆九)
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  |  
浏览/下载:35/0
  |  
提交时间:2012/05/29
Unmanned trimaran vehicles (UTV)
Online parameter/disturbance estimation
A novel adaptive Unscented Kalman Filter (AUKF)
Exponential tracking controller