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收录类别:SCI
出处:IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
发表日期:2019
资助机构:National Natural Science Foundation of China
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A Greedy Assist-as-Needed Controller for Upper Limb Rehabilitation
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 11, 页码: 3433-3443
作者:
Luo, Lincong
;
Peng, Liang
;
Wang, Chen
;
Hou, Zeng-Guang
收藏
  |  
浏览/下载:240/0
  |  
提交时间:2020/03/30
Medical treatment
Training
Task analysis
Robot sensing systems
Impedance
Trajectory
Assist as needed (AAN)
challenge level
Gaussian radial basis function (RBF) network
motor capability
rehabilitation robot
upper limb
Neural Adaptive Event-Triggered Control for Nonlinear Uncertain Stochastic Systems With Unknown Hysteresis
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 11, 页码: 3300-3312
作者:
Wang, Jianhui
;
Liu, Zhi
;
Zhang, Yun
;
Chen, C. L. Philip
收藏
  |  
浏览/下载:279/0
  |  
提交时间:2020/03/30
Actuators
Hysteresis
Nonlinear systems
Artificial neural networks
Adaptive systems
Stochastic systems
System performance
Actuator failure
adaptive control
event-triggered
neural networks (NNs)
stochastic nonlinear systems
unknown direction hysteresis
Adaptive Neural State-Feedback Tracking Control of Stochastic Nonlinear Switched Systems: An Average Dwell-Time Method
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 4, 页码: 1076-1087
作者:
Niu, Ben
;
Wang, Ding
;
Alotaibi, Naif D.
;
Alsaadi, Fuad E.
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  |  
浏览/下载:264/0
  |  
提交时间:2019/12/16
Adaptive tracking control
average dwell time (ADT)
neural networks (NNs)
nonstrict-feedback structure
stochastic nonlinear systems
switched nonlinear systems
Neural Network Filtering Control Design for Nontriangular Structure Switched Nonlinear Systems in Finite Time
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 7, 页码: 2153-2162
作者:
Sui, Shuai
;
Chen, C. L. Philip
;
Tong, Shaocheng
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  |  
浏览/下载:288/0
  |  
提交时间:2019/12/16
Common Lyapunov function
finite time
non-triangular structure
switched systems
Universal Approximation Capability of Broad Learning System and Its Structural Variations
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 4, 页码: 1191-1204
作者:
Chen, C. L. Philip
;
Liu, Zhulin
;
Feng, Shuang
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  |  
浏览/下载:276/0
  |  
提交时间:2019/12/16
Broad learning system (BLS)
deep learning
face recognition
functional link neural networks (FLNNs)
non-linear function approximation
time-variant big data modeling
universal approximation
Adaptive Reinforcement Learning Control Based on Neural Approximation for Nonlinear Discrete-Time Systems With Unknown Nonaffine Dead-Zone Input
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 1, 页码: 295-305
作者:
Liu, Yan-Jun
;
Li, Shu
;
Tong, Shaocheng
;
Chen, C. L. Philip
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  |  
浏览/下载:340/0
  |  
提交时间:2019/07/12
Discrete-time systems
neural networks (NNs)
nonlinear systems
optimal control
reinforcement learning
Variational Bayesian Learning for Dirichlet Process Mixture of Inverted Dirichlet Distributions in Non-Gaussian Image Feature Modeling
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 2, 页码: 449-463
作者:
Ma, Zhanyu
;
Lai, Yuping
;
Kleijn, W. Bastiaan
;
Song, Yi-Zhe
;
Wang, Liang
;
Guo, Jun
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  |  
浏览/下载:373/0
  |  
提交时间:2019/07/12
Bayesian estimation
computer vision
Dirichlet process (DP) mixture
inverted Dirichlet distribution
variational learning
Discriminative Feature Selection via Employing Smooth and Robust Hinge Loss
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 3, 页码: 788-802
作者:
Peng, Hanyang
;
Liu, Cheng-Lin
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  |  
浏览/下载:255/0
  |  
提交时间:2019/07/12
Accelerated proximal gradient (APG)
extended hinge loss (HL)
feature selection
sparsity regularization
Stochastic Conjugate Gradient Algorithm With Variance Reduction
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 5, 页码: 1360-1369
作者:
Jin, Xiao-Bo
;
Zhang, Xu-Yao
;
Huang, Kaizhu
;
Geng, Guang-Gang
收藏
  |  
浏览/下载:351/0
  |  
提交时间:2019/07/11
Computational efficiency
covariance reduction
empirical risk minimization (ERM)
linear convergence
stochastic conjugate gradient (CG)
Dynamic Collaborative Tracking
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 10, 页码: 3035-3046
作者:
Zhu, Guibo
;
Zhang, Zhaoxiang
;
Wang, Jinqiao
;
Wu, Yi
;
Lu, Hanqing
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浏览/下载:535/160
  |  
提交时间:2018/10/11
Correlation filter (CF)
distracter suppression
online learning
visual tracking