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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
收藏  |  浏览/下载：59/0  |  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  
Compressive Beamforming Based on Multiconstraint Bayesian Framework 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 卷号: 59, 期号: 11, 页码: 9209-9223
作者:  Li, Chao;  Zhou, Tian;  Guo, Qijia;  Cui, Hong-Liang
收藏  |  浏览/下载：171/0  |  提交时间：2021/12/28
Bayesian sparse learning (BSL)  deterministic compressive sensing (CS)  multiconstraint  multisnapshot beamforming  multiple signal classification (MUSIC)  
Dynamic Neural Network for Bicriteria Weighted Control of Robot Manipulators 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 14
作者:  Liu, Mei;  He, Li;  Shang, Mingsheng
收藏  |  浏览/下载：53/0  |  提交时间：2022/08/22
Manipulators  Robots  Indexes  Mathematical models  Manipulator dynamics  Optimization  Kinematics  Bicriteria weighted (BCW) scheme  dynamic neural network (DNN)  quadratic programming (QP) problem  robustness  
Cross Disjoint Mortise Confined Solid-State Nanopores for Single-Molecule Detection 期刊论文
ACS APPLIED NANO MATERIALS, 2021, 卷号: 4, 期号: 9, 页码: 9811-9820
作者:  Liu, Yexiang;  Zhang, Xiaoling;  Xie, Wanyi;  Fang, Shaoxi;  Yin, Bohua;  Zhou, Daming;  Tang, Jing;  Liang, Liyuan;  Lu, Wenqiang;  He, Shixuan;  Wang, Deqiang
收藏  |  浏览/下载：140/0  |  提交时间：2021/11/26
solid-state nanopore  controlled dielectric breakdown  cross disjoint mortise structure  CDM-Nanopore  confined domain  
A non-printed integrated-circuit textile for wireless theranostics 期刊论文
NATURE COMMUNICATIONS, 2021, 卷号: 12, 期号: 1, 页码: 10
作者:  Yang, Yuxin;  Wei, Xiaofei;  Zhang, Nannan;  Zheng, Juanjuan;  Chen, Xing;  Wen, Qian;  Luo, Xinxin;  Lee, Chong-Yew;  Liu, Xiaohong;  Zhang, Xingcai;  Chen, Jun;  Tao, Changyuan;  Zhang, Wei;  Fan, Xing
收藏  |  浏览/下载：145/0  |  提交时间：2021/10/13
STA-VPR: Spatio-Temporal Alignment for Visual Place Recognition 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2021, 卷号: 6, 期号: 3, 页码: 4297-4304
作者:  Lu, Feng;  Chen, Baifan;  Zhou, Xiang-Dong;  Song, Dezhen
收藏  |  浏览/下载：277/0  |  提交时间：2021/06/01
Deep learning for visual perception  localization  vision-based navigation  
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
收藏  |  浏览/下载：44/0  |  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
收藏  |  浏览/下载：40/0  |  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
收藏  |  浏览/下载：81/0  |  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  
A noise-suppressing Newton-Raphson iteration algorithm for solving the time-varying Lyapunov equation and robotic tracking problems 期刊论文
INFORMATION SCIENCES, 2021, 卷号: 550, 页码: 239-251
作者:  Wang, Guancheng;  Huang, Haoen;  Shi, Limei;  Wang, Chuhong;  Fu, Dongyang;  Jin, Long;  Xiao Xiuchun
收藏  |  浏览/下载：104/0  |  提交时间：2021/03/01
Time-varying Lyapunov equation  Newton-Raphson iteration  Noise suppressing  Robotic tracking problems