机构

• 沈阳自动化研究所 [6]
• 长春光学精密机械与物... [2]
• 金属研究所 [1]
• 中国科学院大学 [1]
• 自动化研究所 [1]

采集方式

• OAI收割 [10]
• iSwitch采集 [1]

内容类型

• 会议论文 [6]
• 期刊论文 [5]

发表日期

• 2018 [1]
• 2016 [2]
• 2015 [3]
• 2011 [2]
• 2010 [1]
• 2008 [1]
• 更多

学科主题

筛选

浏览/检索结果: 共11条，第1-10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 Multi-sensor Data Fusion for Wheelchair Position Estimation with Unscented Kalman Filter 期刊论文  OAI收割 International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 2, 页码: 207-217 作者:  Derradji Nada1 Mounir Bousbia-Salah;  Maamar Bettayeb   |  收藏  |  浏览/下载：23/0  |  提交时间：2021/02/23 Data fusion  unscented Kalman filter (UKF)  measurement fusion (MF)  navigation  state vector fusion (SVF)  wheelchair.   A comparative study based on the least square parameter identification method for state of charge estimation of a lifepo4 battery pack using three model-based algorithms for electric vehicles 期刊论文  iSwitch采集 Energies, 2016, 卷号: 9, 期号: 9, 页码: 16 作者:  Zahid, Taimoor;  Li, Weimin 收藏  |  浏览/下载：57/0  |  提交时间：2019/05/09 Battery management system  Lithium ion batteries  State of charge (soc) estimation  Extended kalman filter (ekf)  Unscented kalman filter (ukf)  Particle filter (pf)   Observer-based hybrid control algorithm for semi-active suspension systems 期刊论文  OAI收割 JOURNAL OF CENTRAL SOUTH UNIVERSITY, 2016, 卷号: 23, 期号: 9, 页码: 2268-2275 作者:  Ren Hongbin;  Chen Sizhong;  Zhao Yuzhuang;  Liu Gang;  Yang Lin   |  收藏  |  浏览/下载：13/0  |  提交时间：2021/02/02 MODIFIED SKYHOOK CONTROL  VEHICLE SUSPENSION  DESIGN  DAMPER  semi-active suspension  hybrid control  unscented Kalman filter (UKF)   A hybrid deep sea navigation system of LBL/DR integration based on UKF and PSO-SVM 期刊论文  OAI收割 机器人, 2015, 卷号: 37, 期号: 5, 页码: 614-620 作者:  Liu B(刘本);  Liu KZ(刘开周);  Wang YY(王艳艳);  Zhao Y(赵洋);  Cui SG(崔胜国) 收藏  |  浏览/下载：20/0  |  提交时间：2015/12/13 unscented Kalman filter (UKF)  particle swarm optimization (PSO)  support vector machine (SVM)  deep sea navigation system  human occupied vehicle (HOV)   Research on Error Correction methods for the Integrated Navigation System of Deep-sea Human Occupied Vehicles 会议论文  OAI收割 OCEANS 2015 MTS/IEEE, Washington, DC, October 19-22, 2015 作者:  Liu KZ(刘开周);  Wang GQ(王冠群);  Huang Y(黄琰);  Zhao Y(赵洋);  Cui SG(崔胜国) 收藏  |  浏览/下载：25/0  |  提交时间：2015/12/23 HOV (Human Occupied Vehicle)  Integrated Navigation System  LBL (Long Base Line)  Motion Sensors  DVL (Doppler Velocity Log)  UKF (Unscented Kalman Filter)   Iterated square root unscented Kalman filter and its application in deep sea vehicle navigation 会议论文  OAI收割 27th Chinese Control and Decision Conference, CCDC 2015, Qingdao, China, May 23-25, 2015 作者:  Wang XL(王秀莲);  Liu KZ(刘开周);  Lin YP(林燕平);  Liu B(刘本);  Zhao Y(赵洋) 收藏  |  浏览/下载：20/0  |  提交时间：2015/11/18 deep sea navigation system  Human Occupied Vehicle (HOV)  Unscented Kalman Filter (UKF)  square root Unscented Kalman Filter (SRUKF)  iterated square root Unscented Kalman Filter (ISRUKF)   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.   Research on the Navigation System of A Class of Underwater Vehicle Based on USBL 会议论文  OAI收割 MTS/IEEE OCEANS Conference, Kona, HI, September 19-22, 2011 作者:  Liu KZ(刘开周);  Li J(李静);  Guo W(郭威);  Zhu PQ(祝普强);  Zeng JB(曾俊宝) 收藏  |  浏览/下载：18/0  |  提交时间：2012/06/06 Human Occupied Vehicle (HOV)  underwater vehicle  navigation system  unscented Kalman filter (UKF)   Application of adaptive UKF in initial alignment of MINS/GPS integrated navigation system (EI CONFERENCE) 会议论文  OAI收割 2010 3rd International Conference on Advanced Computer Theory and Engineering, ICACTE 2010, August 20, 2010 - August 22, 2010, Chengdu, China 作者:  Gao Q. 收藏  |  浏览/下载：32/0  |  提交时间：2013/03/25 In order to overcome the shortcomings of standard unscented Kalman filter (UKF)  which are obviously influenced by the error of initial value and the model error of system  adaptive UKF which is based on the adaptive principle is applied in initial alignment of the MINS/GPS integrated navigation system. Coarse alignment cannot be done by micro inertial measurement unit (MIMU) itself because of its low precision  the method of using magnetometer to assist it with coarse alignment is presented. Simulation results show that the adaptive UKF can overcome the influences of initial values error and inaccurate system model  and improve the convergence speed and alignment accuracy effectively. 2010 IEEE.   An Adaptive UKF Algorithm for the State and Parameter Estimations of a Mobile Robot 期刊论文  OAI收割 自动化学报, 2008, 卷号: 34, 期号: 1, 页码: 72-79 作者:  Song Q(宋崎);  Han JD(韩建达) 收藏  |  浏览/下载：18/0  |  提交时间：2012/05/29 Adaptive Unscented Kalman filter (UKF)  innovation  MIT rule  process covariance