中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共11条，第1-10条 帮助

限定条件        
已选(0)清除 条数/页：   排序方式：
Design and control of a two-motor-actuated tuna-inspired robot system 期刊论文
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, 卷号: 51, 期号: 暂无, 页码: 1-11
作者:  Du, Sheng;  Wu, Zhengxing;  Wang, Jian;  Qi, Suwen;  Yu, Junzhi
Adobe PDF(2287Kb)  |  收藏  |  浏览/下载：216/61  |  提交时间：2021/06/16
Bio-inspired robot  fast swimming  maneuverability  robotic tuna  underwater robot  
Auto-tuning of FOPI Controllers for TITO Processes with Experimental Validation 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 589-603
作者:  Gargi Baruah;  Somanath Majhi;  Chitralekha Mahanta
浏览  |  Adobe PDF(5332Kb)  |  收藏  |  浏览/下载：161/54  |  提交时间：2021/02/22
Auto-tuning  fractional order proportional and integral (FOPI)  two-input two-output (TITO)  robust  relay with hysteresis  model reduction  coupled tank system (CTS).  
H∞ State Estimation for Stochastic Markovian Jumping Neural Network with Time-varying Delay and Leakage Delay 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 3, 页码: 329-340
作者:  Ya-Jun Li;  Zhao-Wen Huang;  Jing-Zhao Li
浏览  |  Adobe PDF(696Kb)  |  收藏  |  浏览/下载：170/47  |  提交时间：2021/02/22
H∞ filtering state estimation  Markovian jump  exponential stability  linear matrix inequality (LMI)  neural networks  time-varying delay  leakage delay.  
Design of FOPI Controller for Time Delay Systems and Its Experimental Validation 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 3, 页码: 310-328
作者:  Gargi Baruah;  Somanath Majhi;  Chitralekha Mahanta
浏览  |  Adobe PDF(5402Kb)  |  收藏  |  浏览/下载：130/38  |  提交时间：2021/02/22
Auto-tuning  fractional order proportional integral (FOPI)  first order plus dead time (FOPDT)  balanced tuning  coupled tank system (CTS).  
Brain activity regulates loose coupling between mitochondrial and cytosolic Ca2+ transients 期刊论文
NATURE COMMUNICATIONS, 2019, 期号: 10, 页码: 13
作者:  Yuan Lin;  Lin-Lin Li;  Wei Nie;  Xiao lei Liu;  Adler, Avital;  Chi Xiao;  Fujian Lu;  Liping Wang;  Hua Han;  Xianhua Wang;  Wen-Biao Gan;  Heping Cheng
浏览  |  Adobe PDF(3557Kb)  |  收藏  |  浏览/下载：277/105  |  提交时间：2020/10/14
PROTEIN-KINASE-II  ESSENTIAL COMPONENT  DENDRITIC SPINES  MOTOR CORTEX  CALCIUM  DYSFUNCTION  FREQUENCY  DYNAMICS  DISEASE  ER  
Insulator Segmentation for Power Line Inspection Based on Modified Conditional Generative Adversarial Network 期刊论文
JOURNAL OF SENSORS, 2019, 卷号: 2019, 页码: 8
作者:  Gao, Zishu;  Yang, Guodong;  Li, En;  Shen, Tianyu;  Wang, Zhe;  Tian, Yunong;  Wang, Hao;  Liang, Zize
Adobe PDF(2105Kb)  |  收藏  |  浏览/下载：334/72  |  提交时间：2020/03/30
Towards fast and kernelized orthogonal discriminant analysis on person re-identification 期刊论文
Pattern Recognition, 2019, 期号: 94, 页码: 218-229
作者:  Min Cao;  Chen Chen;  Xiyuan Hu;  Silong Peng
浏览  |  Adobe PDF(1700Kb)  |  收藏  |  浏览/下载：302/103  |  提交时间：2019/09/10
Person Re-identificationmetric Learningsingularity Problemorthogonal Discriminant Analysis  
Augmented fixed-time observer-based continuous robust control for hypersonic vehicles with measurement noises 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2019, 卷号: 13, 期号: 3, 页码: 422-433
作者:  Sun, Jinlin;  Yi, Jianqiang;  Pu, Zhiqiang
Adobe PDF(2180Kb)  |  收藏  |  浏览/下载：270/0  |  提交时间：2019/07/12
sliding mode control  finite-time control  state observer  measurement noises  
Conditional disturbance negation based active disturbance rejection control for hypersonic vehicles 期刊论文
CONTROL ENGINEERING PRACTICE, 2019, 卷号: 84, 期号: 0, 页码: 159-171
作者:  Sun, Jinlin;  Pu, Zhiqiang;  Yi, Jianqiang
Adobe PDF(2009Kb)  |  收藏  |  浏览/下载：285/0  |  提交时间：2019/07/12
Active disturbance rejection control  Conditional disturbance negation  Disturbance characterization indicator  
Robotic Skill Learning for Precision Assembly With Microscopic Vision and Force Feedback 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2019, 卷号: 24, 期号: 3, 页码: 1117-1128
作者:  Qin, Fangbo;  Xu, De;  Zhang, Dapeng;  Li, Ying
浏览  |  Adobe PDF(2296Kb)  |  收藏  |  浏览/下载：536/199  |  提交时间：2019/05/06
Force control  learning from demonstration  microscopic vision  precision assembly  robotic skill learning