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Knowledge Commons of Institute of Automation,CAS
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High-throughput investigation of Nb and Ta alloying effects on the microstructure and properties of a novel Ni-Co-based superalloy
期刊论文
SCRIPTA MATERIALIA, 2023, 卷号: 226, 页码: 7
Authors:
Zhu, Lilong
;
Yu, Xin
;
Li, Weifu
;
Zhang, Lina
;
Zhang, Nianxue
;
Lv, Yanan
;
Zhao, Lei
;
Zhang, Wenyan
;
Wang, Zi
;
Yu, Hongyao
;
Bi, Zhongnan
;
Han, Hua
;
Ruan, Jingjing
;
Jiang, Liang
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Submit date:2023/02/22
Superalloy
Multi -component diffusion multiple (MCDM)
Precipitation
Microstructure
Hardness
Network localization of transient global amnesia beyond the hippocampus
期刊论文
NEUROLOGICAL SCIENCES, 2022, 页码: 9
Authors:
Wang, Tao
;
Xu, Yicheng
;
Li, Deying
;
Tu, Wenjun
;
Li, Yanan
;
Miao, Shuai
;
Li, Jilai
;
Wang, Peifu
;
Zhao, Fei
;
Fan, Lingzhong
;
Yu, Shengyuan
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View/Download:26/0
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Submit date:2022/11/14
Transient global amnesia
DMN
Lesion network mapping
DSIC: DYNAMIC SAMPLE-INDIVIDUALIZED CONNECTOR FOR MULTI-SCALE OBJECT DETECTION
会议论文
, 线上, 2021.07
Authors:
Li Zekun
;
Liu Yufan
;
Li Bing
;
Hu Weiming
;
Miao Yanan
;
Zhang Hong
Adobe PDF(1487Kb)
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Submit date:2022/06/21
Estimation of human impedance and motion intention for constrained human-robot interaction
期刊论文
NEUROCOMPUTING, 2020, 卷号: 390, 页码: 268-279
Authors:
Yu, Xinbo
;
Li, Yanan
;
Zhang, Shuang
;
Xue, Chengqian
;
Wang, Yu
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Submit date:2020/06/22
Human motion intention estimation
Impedance learning
Adaptive neural network control
Full-state constraints
Barrier Lyapunov functions
Adaptive NN impedance control for an SEA-driven robot
期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2020, 卷号: 63, 期号: 5, 页码: 3
Authors:
Yu, Xinbo
;
He, Wei
;
Li, Yanan
;
Xue, Chengqian
;
Sun, Yongkun
;
Wang, Yu
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View/Download:91/0
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Submit date:2020/08/03
Neural Networks Enhanced Adaptive Admittance Control of Optimized Robot-Environment Interaction
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 卷号: 49, 期号: 7, 页码: 2568-2579
Authors:
Yang, Chenguang
;
Peng, Guangzhu
;
Li, Yanan
;
Cui, Rongxin
;
Cheng, Long
;
Li, Zhijun
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Submit date:2019/07/11
Admittance control
neural networks (NNs)
observer
optimal adaptive control
robot-environment interaction
Neural networks enhancedadaptive admittance control of optimized robot-environment interaction
期刊论文
IEEE Transactions on Cybernetics, 2018
Authors:
Chenguang Yang
;
Guangzhu Peng
;
Yanan Li
;
Rongxin Cui
;
Long Cheng
;
Zhijun Li
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Submit date:2019/02/14
Admittance control
neural networks (NNs)
observer
optimal adaptive control
robot–environment interaction
一个角色汉语口型动画自动生成系统
专利
专利类型: 发明, 专利号: CN201010139093.8, 申请日期: 2010-03-31, 公开日期: 2010-09-08
Inventors:
于海涛
;
吴峰风
;
杨一平
;
张之益
;
葛水英
;
李朋
;
臧亚男
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Submit date:2015/09/22