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A Measuring Method for Nano Displacement Based on Fusing Data of Self-Sensing and Time-Digit-Conversion 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 183070-183080
作者:  Du, Zhangming;  Zhou, Chao;  Zhang, Tianlu;  Deng, Lu;  Cao, Zhiqiang;  Cheng, Long
Adobe PDF(2959Kb)  |  收藏  |  浏览/下载：293/44  |  提交时间：2020/03/30
Nano-scale measurement  multi-rate fusion  self-sensing  TDC  
Relative closeness ranking of Kalman filtering with multiple mismatched measurement noise covariances 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2018, 卷号: 12, 期号: 8, 页码: 1133-1140
作者:  Shao, Teng;  Ge, Quanbo;  Duan, Zhansheng;  Yu, Junzhi
收藏  |  浏览/下载：144/0  |  提交时间：2018/10/10
Linear Systems  Kalman Filters  Mean Square Error Methods  Relative Closeness Ranking  Kalman Filtering  Multiple Mismatched Measurement Noise Covariances  Linear Dynamic Systems  Ideal Mse  Filter Calculated Mse  True Mse  Fmse  Tmse  Imse  Mean Squared Error  
Evolved neural network ensemble by multiple heterogeneous swarm intelligence 期刊论文
NEUROCOMPUTING, 2015, 卷号: 149, 期号: A, 页码: 29-38
作者:  Zhao, Zeng-Shun;  Feng, Xiang;  Lin, Yan-yan;  Wei, Fang;  Wang, Shi-Ku;  Xiao, Tong-Lu;  Cao, Mao-Yong;  Hou, Zeng-Guang
浏览  |  Adobe PDF(1108Kb)  |  收藏  |  浏览/下载：279/85  |  提交时间：2015/10/13
Neural Network Ensemble  Particle Swarm Optimization  Differential Evolution  Artificial Bee Colony  Chaotic Search