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中国科学院重庆绿色智能技术研究院机构知识库
KMS Chongqing Institute of Green and Intelligent Technology, CAS
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大数据挖掘及应用中心 [6]
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罗辛 [15]
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Distributed and Time-Delayed k-Winner-Take-All Network for Competitive Coordination of Multiple Robots
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 12
作者:
Jin, Long
;
Liang, Siqi
;
Luo, Xin
;
Zhou, Mengchu
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  |  
浏览/下载:62/0
  |  
提交时间:2022/08/22
Mathematical models
Delay effects
Task analysis
Robot kinematics
Multi-robot systems
Robustness
Heuristic algorithms
Competitive coordination
distributed control
intelligent network
k-winner-take-all (kWTA)
multirobot system
optimization
time delay
Distributed Competition of Multi-Robot Coordination Under Variable and Switching Topologies
期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2021, 页码: 12
作者:
Jin, Long
;
Qi, Yimeng
;
Luo, Xin
;
Li, Shuai
;
Shang, Mingsheng
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  |  
浏览/下载:60/0
  |  
提交时间:2022/08/22
Robot kinematics
Robots
Topology
Multi-robot systems
Heuristic algorithms
Task analysis
Collaboration
Multi-robot coordination
winner-take-all
gradient neural network
distributed control
Robust k-WTA Network Generation, Analysis, and Applications to Multiagent Coordination
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 13
作者:
Qi, Yimeng
;
Jin, Long
;
Luo, Xin
;
Shi, Yang
;
Liu, Mei
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  |  
浏览/下载:45/0
  |  
提交时间:2022/08/22
Task analysis
Robustness
Biological neural networks
Resource management
Dynamic scheduling
Convergence
Recurrent neural networks
Consensus filter
k-winner-take-all (k-WTA)
multiagent coordination
theoretical analysis
An L-1-and-L-2-Norm-Oriented Latent Factor Model for Recommender Systems
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 14
作者:
Wu, Di
;
Shang, Mingsheng
;
Luo, Xin
;
Wang, Zidong
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浏览/下载:42/0
  |  
提交时间:2022/08/22
High-dimensional and sparse (HiDS) matrix
latent factor (LF) analysis
L-1 norm
L-2 norm
recommender system (RS)
Robust Latent Factor Analysis for Precise Representation of High-Dimensional and Sparse Data
期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2021, 卷号: 8, 期号: 4, 页码: 796-805
作者:
Wu, Di
;
Luo, Xin
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浏览/下载:82/0
  |  
提交时间:2021/05/17
High-dimensional and sparse matrix
L-1-norm
L-2-norm
latent factor model
recommender system
smooth L-1-norm
Recurrent Neural Dynamics Models for Perturbed Nonstationary Quadratic Programs: A Control-Theoretical Perspective
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 12
作者:
Qi, Yimeng
;
Jin, Long
;
Luo, Xin
;
Zhou, MengChu
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浏览/下载:48/0
  |  
提交时间:2022/08/22
Computational modeling
Mathematical model
Neural networks
Control theory
Analytical models
Real-time systems
Numerical models
Control-theoretical techniques
perturbed nonstationary quadratic program (QP)
recurrent neural dynamics
robustness theoretical analysis
New Disturbance Rejection Constraint for Redundant Robot Manipulators: An Optimization Perspective
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 卷号: 16, 期号: 4, 页码: 2221-2232
作者:
Chen, Dechao
;
Li, Shuai
;
Wu, Qing
;
Luo, Xin
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浏览/下载:150/0
  |  
提交时间:2020/02/18
Manipulators
Optimization
Three-dimensional displays
Robustness
Neural networks
Task analysis
Dynamical quadratic programming (DQP)
hybrid multiple objectives
robustness
redundant robot manipulators
time-varying disturbances
Super-twisting ZNN for coordinated motion control of multiple robot manipulators with external disturbances suppression
期刊论文
NEUROCOMPUTING, 2020, 卷号: 371, 页码: 78-90
作者:
Chen, Dechao
;
Li, Shuai
;
Wu, Qing
;
Luo, Xin
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  |  
浏览/下载:103/0
  |  
提交时间:2020/08/24
Coordination motion control
Zeroing neural networks (ZNNs)
Finite-time convergence
Super-twisting
Multiple robot manipulators
Quantitative Analysis of Immunochromatographic Strip Based on Convolutional Neural Network
期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 16257-16263
作者:
Zeng, Nianyin
;
Li, Han
;
Li, Yurong
;
Luo, Xin
Adobe PDF(4383Kb)
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浏览/下载:166/0
  |  
提交时间:2019/03/25
Gold immunochromatographic strip
quantitative analysis
image segmentation
CNN
Modified Primal-Dual Neural Networks for Motion Control of Redundant Manipulators With Dynamic Rejection of Harmonic Noises
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 10, 页码: 4791-4801
作者:
Li, Shuai
;
Zhou, MengChu
;
Luo, Xin
Adobe PDF(2696Kb)
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  |  
浏览/下载:292/0
  |  
提交时间:2018/11/01
Dual neural network
kinematic control
redundancy resolution
robotic manipulator