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沈阳自动化研究所 [8]
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会议论文 [11]
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Speed Estimation Method of Permanent Magnet Synchronous Motor Based on Adaptive Unscented Kalman Filter
会议论文
2018 IEEE INTERNATIONAL POWER ELECTRONICS AND APPLICATION CONFERENCE AND EXPOSITION (PEAC), 2018-01-01
作者:
Yin, Zhonggang
;
Gao, Fengtao
;
Zhang, Yanping
;
Hou, Jie
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2019/12/20
Speed identification
AUKF
PMSM
Adaptive factor
State-of-charge estimation of lithium batteries using compact RBF networks and AUKF
会议论文
International Conference on Life System Modeling and Simulation, LSMS 2017 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017, 2017-09-22
作者:
Zhang, Li[1]
;
Li, Kang[2]
;
Du, Dajun[3]
;
Fei, Minrui[4]
;
Li, Xiang[5]
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2019/04/24
Comparison of estimation and control methods for flexible needle in 2D
会议论文
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)
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2016/09/13
Flexible Needle
Feedback Linearization
AKF
UKF
AUKF
Adaptive unscented Kalman filters applied to visual tracking
会议论文
2012 IEEE International Conference on Information and Automation, ICIA 2012, Shenyang, China, June 6, 2012 - June 8, 2012
作者:
Ding QC(丁其川)
;
Zhao XG(赵新刚)
;
Han JD(韩建达)
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2012/10/24
Estimation
Nonlinear filtering
Tracking (position)
Adaptive Unscented Kalman Filters Applied to Visual Tracking
会议论文
2011年中国自动化大会暨钱学森诞辰一百周年及中国自动化学会五十周年会庆, 北京, November 27-29, 2011
作者:
Ding QC(丁其川)
;
Zhao XG(赵新刚)
;
Han JD(韩建达)
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2012/06/06
Application of improved UKF algorithm in initial alignment of SINS (EI CONFERENCE)
会议论文
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:13/0
  |  
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 unscented Kalman filter for estimation of modelling errors for helicopter
会议论文
2009 IEEE International Conference on Robotics and Biomimetics (ROBIO), Guilin, China, December 19-23, 2009
作者:
Song Q(宋崎)
;
He YQ(何玉庆)
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2012/06/06
Tracking Control of Unmanned Trimaran Surface Vehicle: Using Adaptive Unscented Kalman Filter to Estimate the Uncertain Parameters
会议论文
IEEE Conference on Robotics, Automation, and Mechatronics, Chengdu, China, September 21-24, 2008
作者:
Peng Y(彭艳)
;
Han JD(韩建达)
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2012/06/06
Adaptive Unscented Kalman filter
Tracking control
Dynamic disturbances
Underactuated ships
Parameter estimation
A novel adaptive unscented Kalman filter for nonlinear estimation
会议论文
46th IEEE Conference on Decision and Control, New Orleans, LA, December 12-14, 2007
作者:
Jiang Z(姜哲)
;
Song Q(宋崎)
;
He YQ(何玉庆)
;
Han JD(韩建达)
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2012/06/06
Adaptive UKF and Its Application in Fault Tolerant Control of Rotorcraft UAV
会议论文
2007 AIAA Guidance, Navigation, and Control and Exhibit, Hilton Head, South Carolina, August 20-23, 2007
作者:
Qi JT(齐俊桐)
;
Jiang Z(姜哲)
;
Zhao XG(赵新刚)
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2012/06/06
Adaptive control system
Computer simulation
Cost functions
Failure analysis
Risk analysis
Rotors
Unmanned aerial vehicles (UAV)
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