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浏览/检索结果: 共13条，第1-10条 帮助

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Local-binarized very deep residual network for visual categorization 期刊论文  OAI收割
NEUROCOMPUTING, 2021, 卷号: 430, 页码: 82-93
作者:  Liu, Xuejing;  Li, Liang;  Wang, Shuhui;  Zha, Zheng-Jun;  Huang, Qingming
  |  收藏  |  浏览/下载：40/0  |  提交时间：2021/12/01
A long short-term memory neural network model for knee joint acceleration estimation using mechanomyography signals 期刊论文  OAI收割
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2020, 卷号: 17
作者:  Xie, Chenlei;  Wang, Daqing;  Wu, Haifeng;  Gao, Lifu
  |  收藏  |  浏览/下载：62/0  |  提交时间：2020/12/28
Accelerating Minibatch Stochastic Gradient Descent Using Typicality Sampling 期刊论文  OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 11, 页码: 4649-4659
作者:  Peng, Xinyu;  Li, Li;  Wang, Fei-Yue
  |  收藏  |  浏览/下载：18/0  |  提交时间：2021/01/06
Fast Acceleration and Velocity Estimation for Wideband Stretching LFM Radars Based on Mutual Bias Correction 期刊论文  OAI收割
IEEE SENSORS JOURNAL, 2020, 卷号: 20, 期号: 15, 页码: 8683-8697
作者:  Zhang YX(张贻雄);  Chen, Xiufang;  Xu, Huawei;  Zhang, Xiao-Ping;  Qi F(祁峰)
  |  收藏  |  浏览/下载：25/0  |  提交时间：2020/07/18
Extended state observer based control of fast step/stare imaging mechanisms 期刊论文  OAI收割
Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2018, 卷号: 26, 期号: 8, 页码: 2084-2091
作者:  Huang, Pu;  Yang, Xiu-Li;  Xiu, Ji-Hong
  |  收藏  |  浏览/下载：10/0  |  提交时间：2019/09/17
Motion intention estimation of lower limbs based on sEMG supplement with acceleration signal 会议论文  OAI收割
27th Chinese Control and Decision Conference, CCDC 2015, Qingdao, China, May 23-25, 2015
作者:  Zhao XG(赵新刚);  Wang, Rui;  Ye D(叶丹)
收藏  |  浏览/下载：20/0  |  提交时间：2015/11/18
Disturbance estimation for RUAV using UKF with acceleration measurement 会议论文  OAI收割
2015 IEEE International Conference on Mechatronics and Automation (ICMA), Beijing, August 2-5, 2015
作者:  Jiang ZY(江紫亚)
收藏  |  浏览/下载：27/0  |  提交时间：2015/12/20
Research on Under-actuated Ship States Estimation Using Algorithm Singular Value Decomposition UKF Based on Acceleration 会议论文  OAI收割
2011 International Conference on Mechanical Materials and Manufacturing Engineering, ICMMME 2011, Nanchang, China, June 20-22, 2011
作者:  Ma YL(马玉龙);  Han JD(韩建达);  Zhao YW(赵忆文);  He YQ(何玉庆)
收藏  |  浏览/下载：30/0  |  提交时间：2012/06/06
Analyse the angular velocity estimation errors of -- filter based on high sampling rate (EI CONFERENCE) 会议论文  OAI收割
2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011, July 15, 2011 - July 17, 2011, Inner Mongolia, China
作者:  Zhang Y.
收藏  |  浏览/下载：27/0  |  提交时间：2013/03/25
In order to get angular velocity of stabilization servo mechanism from angular position sensors  -- filter based on high sampling rate was established  model and error characteristics were analyzed. With the hypothesis of constant acceleration  -- filter and its angular velocity transfer function were deduced. Combing with optimum parameters  the effects of and sample rate on the error characteristics were evaluated. According to the requirements of stabilization servo mechanism  the frequency characteristics of angular velocity transfer function are analyzed  and the filter parameters are designed. The experimental which filter tracked and smoothed sinusoidal signal  the results show that when the cutoff frequency of angular velocity loop is 44.9rad/s  sampling period and parameters are 0.08ms and 0.01279 respectively  the phase leading of angular position is 70. -- filter tracked sinusoidal signals with maximum angular velocity(30/s) and maximum angular acceleration(30/s2)  the error of angular velocity estimation was 0.053/s. In the engineering of electro-optical stabilization servo mechanism  -- filter can reduce noise effectively  and reached the requirement of platform angular velocity estimation. Also it is one of the effective methods to get angular velocity from angular position sensors. 2011 IEEE.  
The angular velocity estimation principal of -- filter based on high sampling rate (EI CONFERENCE) 会议论文  OAI收割
2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011, July 15, 2011 - July 17, 2011, Inner Mongolia, China
作者:  Zhang Y.
收藏  |  浏览/下载：28/0  |  提交时间：2013/03/25
In order to get angular velocity of stabilization servo mechanism from angular position sensors  -- filter and its angular velocity transfer function were predigested. Combing with optimum parameters  -- filter based on high sampling rate was established  the effect of and sample rate on filter nature frequency were evaluated. According to the requirements of stabilization platform  the principle of steady and transient tracking filter differential were proved. With the hypothesis of constant acceleration  the frequency characteristics of angular velocity transfer function were analyzed  three-dimensional Kalman filter was simplified  and the filter parameters were designed. The results show that when the spectrum of input signal was lower than 6rad/s  parameters was 0.02  and sampling period were 0.08ms and 0.1ms respectively  the filter can realize differential exactly  when the spectrum was 9rad/s  the precision was no less than 1.1%  the phase leading of angular position was no less than 70  the natural frequency should be higher than the cut-off frequency of stabilization platform was two or three times. In the engineering of electro-optical stabilization servo mechanism  -- filter has properties of tracking differential  and reached the requirement of platform angular velocity estimation. Also it is one of the effective methods to get angular velocity from angular position sensors. 2011 IEEE.