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Neural dynamics solver for time-dependent infinity-norm optimization based on ACP framework with robot application 期刊论文
NEUROCOMPUTING, 2024, 卷号: 567, 页码: 9
作者:  Ma, Dexiu;  Liu, Mei;  Shang, Mingsheng
收藏  |  浏览/下载：8/0  |  提交时间：2024/02/23
Neural dynamics (ND)  ACP framework  Time-dependent infinity-norm optimization (TDINO)  Activation functions  
Discrete Data-Driven Control of Redundant Manipulators With Adaptive Jacobian Matrix 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2024, 页码: 11
作者:  Liu, Mei;  Hu, Yafei;  Jin, Long
收藏  |  浏览/下载：4/0  |  提交时间：2024/04/07
Manipulators  Mathematical models  Manipulator dynamics  Jacobian matrices  Kalman filters  Task analysis  Kinematics  Discrete data-driven Jacobian matrix adaptive control (DDJMAC)  Kalman filter  model-unknown  neural dynamics  redundant manipulators  
Pseudo Gradient-Adjusted Particle Swarm Optimization for Accurate Adaptive Latent Factor Analysis 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2024, 页码: 14
作者:  Luo, Xin;  Chen, Jiufang;  Yuan, Ye;  Wang, Zidong
收藏  |  浏览/下载：49/0  |  提交时间：2024/02/23
High-dimensional and incomplete (HDI) data  hyperparameter adaptation  latent factor analysis (LFA)  network representation  particle swarm optimization (PSO)  
A Bi-Criteria Kinematic Strategy for Motion/Force Control of Robotic Manipulator 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2023, 页码: 13
作者:  Xie, Zhengtai;  Li, Shuai;  Jin, Long
收藏  |  浏览/下载：9/0  |  提交时间：2023/12/25
Motion/force control  robotic manipulator  dynamic neural networks (DNNs)  kinematic perspective.  
A Noise-Tolerant k-WTA Model With Its Application on Multirobot System 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 页码: 11
作者:  Jin, Long;  Chen, Yingqi;  Liu, Mei
收藏  |  浏览/下载：10/0  |  提交时间：2023/12/25
Mathematical models  Numerical models  Biological neural networks  Analytical models  Computational modeling  Stability analysis  Personal digital devices  k-winners-take-all (k-WTA) operation  multirobot system  noise tolerance  steady-state error  
A Nonlinear PID-Incorporated Adaptive Stochastic Gradient Descent Algorithm for Latent Factor Analysis 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2023, 页码: 15
作者:  Li, Jinli;  Luo, Xin;  Yuan, Ye;  Gao, Shangce
收藏  |  浏览/下载：181/0  |  提交时间：2023/12/25
High-dimensional and incomplete data  latent factor analysis  stochastic gradient descent  nonlinear proportional integral derivation  particle swarm optimization  parameter adaptation  
Proximal Alternating-Direction-Method-of-Multipliers-Incorporated Nonnegative Latent Factor Analysis 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2023, 卷号: 10, 期号: 6, 页码: 1388-1406
作者:  Bi, Fanghui;  Luo, Xin;  Shen, Bo;  Dong, Hongli;  Wang, Zidong
收藏  |  浏览/下载：13/0  |  提交时间：2023/12/25
Data science  high-dimensional and incomplete data  knowledge acquisition  industrial application  nonnegative latent factor analysis(NLFA)  proximal alternating direction method of multipliers  representation learning  
Parallel Adaptive Stochastic Gradient Descent Algorithms for Latent Factor Analysis of High-Dimensional and Incomplete Industrial Data 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2023, 页码: 14
作者:  Qin, Wen;  Luo, Xin;  Li, Shuai;  Zhou, MengChu
收藏  |  浏览/下载：13/0  |  提交时间：2023/12/25
Adaptation models  Training  Data models  Convergence  Stochastic processes  Sparse matrices  Tuning  Big data  latent factor analysis  Index Terms  adaptive model  parallelization  machine learning  stochastic gradient descent  high-dimensional and incomplete matrix  
Neulft: A Novel Approach to Nonlinear Canonical Polyadic Decomposition on High-Dimensional Incomplete Tensors 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 卷号: 35, 期号: 6, 页码: 6148-6166
作者:  Luo, Xin;  Wu, Hao;  Li, Zechao
收藏  |  浏览/下载：11/0  |  提交时间：2023/12/25
Tensors  Data models  Computational modeling  Adaptation models  Training  Artificial neural networks  Neurons  Nonlinear tensor model  Big Data  high-dimensional and incomplete tensor  latent factorization of tensors  hyper-parameter adaptation  
Design, analysis, and application of projected k-winner-take-all network 期刊论文
INFORMATION SCIENCES, 2023, 卷号: 621, 页码: 74-87
作者:  Liang, Siqi;  Peng, Bo;  Stanimirovic, Predrag S.;  Jin, Long
收藏  |  浏览/下载：114/0  |  提交时间：2023/02/07
k-winner-take-all(kWTA)  Projection function  Multi-agent system  Competitive coordination  Task allocation