×
验证码:
换一张
Forgotten Password?
Stay signed in
China Science and Technology Network Pass Registration
×
China Science and Technology Network Pass Registration
Log In
Chinese
|
English
中国科学院沈阳自动化研究所机构知识库
Knowledge Management System of Shenyang Institute of Automation, CAS
Log In
Register
ALL
ORCID
Title
Creator
Subject Area
Keyword
Funding Project
Document Type
Source Publication
Indexed By
Publisher
Date Issued
Date Accessioned
MOST Discipline Catalogue
Study Hall
Image search
Paste the image URL
Home
Collections
Authors
DocType
Subjects
K-Map
News
Search in the results
Collection
机器人学研究室 [2]
Authors
Xisheng FE... [1]
Jianda Han [1]
何玉庆 [1]
杨丽英 [1]
斯白露 [1]
Zhao Ye [1]
More...
Document Type
Journal ar... [2]
Date Issued
2019 [2]
Language
英语 [2]
Source Publication
ELECTRONIC... [1]
Neural Net... [1]
Funding Project
CAS Pionee... [1]
Frontier S... [1]
National K... [1]
National K... [1]
National N... [1]
National N... [1]
More...
Indexed By
SCI [2]
EI [1]
Funding Organization
National K... [2]
CAS Pionee... [1]
Frontier S... [1]
National N... [1]
State Key ... [1]
×
Knowledge Map
SIA OpenIR
Start a Submission
Submissions
Unclaimed
Claimed
Attach Fulltext
Bookmarks
QQ
Weibo
Feedback
Browse/Search Results:
1-2 of 2
Help
Filters
Date Issued:2019
Funding Organization:National Key Research and Development Program of China
Selected(
0
)
Clear
Items/Page:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
Sort:
Select
Title Ascending
Title Descending
Issue Date Ascending
Issue Date Descending
Author Ascending
Author Descending
WOS Cited Times Ascending
WOS Cited Times Descending
Submit date Ascending
Submit date Descending
Journal Impact Factor Ascending
Journal Impact Factor Descending
Active-Model-Based Control for the Quadrotor Carrying a Changed Slung Load
期刊论文
ELECTRONICS, 2019, 卷号: 8, 期号: 4, 页码: 1-12
Authors:
Yi K(易奎)
;
Liang X(梁潇)
;
He YQ(何玉庆)
;
Yang LY(杨丽英)
;
Han JD(韩建达)
Adobe PDF(3530Kb)
  |  
Favorite
  |  
View/Download:353/71
  |  
Submit date:2019/06/18
quadrotor slung load system
modeling error
active estimation
rapidly-changed load
compensation control
cable-suspended
Learning joint space–time–frequency features for EEG decoding on small labeled data
期刊论文
Neural Networks, 2019, 卷号: 114, 页码: 67-77
Authors:
Zhao DY(赵冬晔)
;
Tang FZ(唐凤珍)
;
Si BL(斯白露)
;
Feng XS(封锡盛)
Adobe PDF(797Kb)
  |  
Favorite
  |  
View/Download:268/60
  |  
Submit date:2019/04/13
Brain-computer interfaces
Convolutional neural network
Joint space–time–frequency feature learning
Subject-to-subject weight transfer
Small labeled data