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Novel sliding-mode disturbance observer-based tracking control with applications to robot manipulators 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2021, 卷号: 64, 期号: 7, 页码: 12
作者:  Sun, Tairen;  Cheng, Long;  Hou, Zengguang;  Tan, Min
收藏  |  浏览/下载:216/0  |  提交时间:2021/08/15
adaptive control  robot manipulator  disturbance observer  sliding mode  
A Rapid Spiking Neural Network Approach With an Application on Hand Gesture Recognition 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2021, 卷号: 13, 期号: 1, 页码: 151-161
作者:  Cheng, Long;  Liu, Yang;  Hou, Zeng-Guang;  Tan, Min;  Du, Dajun;  Fei, Minrui
收藏  |  浏览/下载:208/0  |  提交时间:2021/04/27
Forward propagation  hand gesture recognition  spiking neural networks (SNNs)  surface electromyography  
Learning impedance control of robots with enhanced transient and steady-state control performances 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2020, 卷号: 63, 期号: 9, 页码: 13
作者:  Sun, Tairen;  Cheng, Long;  Peng, Liang;  Hou, Zengguang;  Pan, Yongping
收藏  |  浏览/下载:174/0  |  提交时间:2020/09/07
robot  adaptive control  neural network  impedance control  parameter convergence  
Exponential Finite-Time Consensus of Fractional-Order Multiagent Systems 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2020, 卷号: 50, 期号: 4, 页码: 1549-1558
作者:  Liu, Huiyang;  Cheng, Long;  Tan, Min;  Hou, Zeng-Guang
收藏  |  浏览/下载:245/0  |  提交时间:2020/06/02
Multi-agent systems  Protocols  Convergence  Manifolds  Heuristic algorithms  Sliding mode control  Lyapunov methods  Directed network topology  exponential finite-time consensus  fast sliding-mode algorithms  fractional-order dynamics  multiagent systems  
Composite Learning Enhanced Robot Impedance Control 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 3, 页码: 1052-1059
作者:  Sun, Tairen;  Peng, Liang;  Cheng, Long;  Hou, Zeng-Guang;  Pan, Yongping
收藏  |  浏览/下载:231/0  |  提交时间:2020/06/02
Impedance  Convergence  Robots  Stability criteria  Uncertainty  Parameter estimation  Adaptive control  composite adaptation  impedance control  learning control  parameter convergence  robot  
An Effective Microscopic Detection Method for Automated Silicon-Substrate Ultra-microtome (ASUM) 期刊论文
NEURAL PROCESSING LETTERS, 2019, 页码: 18
作者:  Cheng, Long;  Liu, Weizhou
收藏  |  浏览/下载:204/0  |  提交时间:2020/03/30
Microscopic object detection  Deep learning  Data augmentation  Serial sections