中文版 | English

在结果中检索

CASIA OpenIR
（本次检索基于用户作品认领结果）

浏览/检索结果: 共172条，第1-10条 帮助

限定条件        
已选(0)清除 条数/页：   排序方式：
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：207/0  |  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：201/0  |  提交时间：2021/04/27
Forward propagation  hand gesture recognition  spiking neural networks (SNNs)  surface electromyography  
Target Tracking Control of a Biomimetic Underwater Vehicle Through Deep Reinforcement Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 12
作者:  Wang, Yu;  Tang, Chong;  Wang, Shuo;  Cheng, Long;  Wang, Rui;  Tan, Min;  Hou, Zengguang
收藏  |  浏览/下载：186/0  |  提交时间：2022/01/27
Reinforcement learning  Target tracking  Robots  Sports  Aerospace electronics  Mobile robots  Underwater vehicles  Biomimetic underwater vehicle (BUV)  reinforcement learning  target tracking control  
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：237/0  |  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  
Design and Validation of an Asymmetric Bowden-Cable-Driven Series Elastic Actuator 会议论文
, Dali, China, 2019.12
作者:  Ning Sun;  Long Cheng;  Lin Tian;  Zeng-Guang Hou;  Min Tan
Adobe PDF(4602Kb)  |  收藏  |  浏览/下载：135/39  |  提交时间：2022/08/29
Exponential finite-time consensus of fractional-order multi-agent systems 期刊论文
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2018
作者:  Huiyang Liu;  Long Cheng;  Min Tan;  Zeng-Guang Hou
收藏  |  浏览/下载：146/0  |  提交时间：2019/02/14
Directed network topology  exponential finitetime consensus  fast sliding-mode algorithms  fractional-order dynamics  multiagent systems  
An Adaptive Takagi-Sugeno Fuzzy Model-Based Predictive Controller for Piezoelectric Actuators 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 卷号: 64, 期号: 4, 页码: 3048-3058
作者:  Cheng, Long;  Liu, Weichuan;  Hou, Zeng-Guang;  Huang, Tingwen;  Yu, Junzhi;  Tan, Min
收藏  |  浏览/下载：294/0  |  提交时间：2017/05/05
Adaptive  Fuzzy Modeling  Hysteresis  Model Predictive Control (Mpc)  Parallel Distributed Control  Piezoelectric Actuators (Peas)  
Catheter or guide wire manipulating device for vascular intervention 专利
专利类型: 发明专利, 专利号: US9731096B2, 申请日期: 2017-01-01,
发明人:  Bian Gui-Bin;  Hou Zeng-Guang;  Xie Xiao-Liang;  Cheng Long;  Tan Min;  Feng Zhen-Qiu;  Zhou Xiao-Hu
浏览  |  Adobe PDF(534Kb)  |  收藏  |  浏览/下载：283/64  |  提交时间：2019/04/24
Containment Control of Multiagent Systems With Dynamic Leaders Based on a PIn-Type Approach 期刊论文
IEEE Transactions on Cybernetics, IEEE Transactions on Cybernetics, 2016, 2016, 卷号: 46, 46, 期号: 12, 页码: 3004-3017, 3004-3017
作者:  Cheng, Long;  Wang, Yunpeng;  Ren, Wei;  Hou, Zeng-Guang;  Tan, Min
收藏  |  浏览/下载：252/0  |  提交时间：2017/02/14
Containment Control  Containment Control  Multiagent System (Mas)  Multiagent System (Mas)  Pin-type Algorithm  Pin-type Algorithm  Polynomial Trajectory  Polynomial Trajectory  
On Convergence Rate of Leader-Following Consensus of Linear Multi-Agent Systems With Communication Noises 期刊论文
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2016, 卷号: 61, 期号: 11, 页码: 3586-3592
作者:  Cheng, Long;  Wang, Yunpen;  Ren, Wei;  Hou, Zeng-Guang;  Tan, Min
收藏  |  浏览/下载：227/0  |  提交时间：2017/02/14
Convergence Rate  Leader-following Consensus  Multi-agent Systems  Noises  Time-varying Gain