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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：252/0  |  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  
Automated Silicon-Substrate Ultra-Microtome for Automating the Collection of Brain Sections in Array Tomography 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2021, 卷号: 8, 期号: 2, 页码: 389-401
作者:  Cheng, Long;  Liu, Weizhou;  Zhou, Chao;  Zou, Yongxiang;  Hou, Zeng-Guang
Adobe PDF(17687Kb)  |  收藏  |  浏览/下载：304/51  |  提交时间：2021/03/08
Array tomography  automatic collection system  brain sections  microscopic object detection  serial section  
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：210/0  |  提交时间：2020/09/07
robot  adaptive control  neural network  impedance control  parameter convergence  
An Adaptive Fuzzy Predictive Controller with Hysteresis Compensation for Piezoelectric Actuators 期刊论文
COGNITIVE COMPUTATION, 2020, 页码: 12
作者:  Wang, Ang;  Cheng, Long;  Yang, Chenguang;  Hou, Zeng-Guang
收藏  |  浏览/下载：194/0  |  提交时间：2020/06/22
Adaptive fuzzy model  Feedforward-feedback control  Hysteresis compensation  Model predictive control (MPC)  Piezoelectric actuators (PEAs)  
Towards patients’ motion intention recognition: Dynamics modeling and identification of iLeg - an LLRR under motion constraints 期刊论文
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2016, 卷号: 46, 期号: 7, 页码: 980-992
作者:  weiqun wang;  Zeng-Guang Hou;  Long Cheng;  Lina Tong;  Liang Peng;  Long Peng;  Min Tan
浏览  |  Adobe PDF(1520Kb)  |  收藏  |  浏览/下载：138/3  |  提交时间：2019/11/07
Friction Model  Lower Limb Rehabilitation Robot (Llrr)  Motion Intention Recognition  Optimization Of Exciting Trajectories  Recursive Optimization  
Consensus seeking in a network of discrete-time linear agents with communication noises 期刊论文
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2015, 卷号: 46, 期号: 10, 页码: 1874-1888
作者:  Wang, Yunpeng;  Cheng, Long;  Hou, Zeng-Guang;  Tan, Min;  Zhou, Chao;  Wang, Ming
浏览  |  Adobe PDF(354Kb)  |  收藏  |  浏览/下载：342/100  |  提交时间：2018/01/05
Consensus  Multi-agent Systems  Discrete-time Linear Agent  Mean Square  Noise  
Toward Patients' Motion Intention Recognition: Dynamics Modeling and Identification of iLeg-An LLRR Under Motion Constraints 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2016, 卷号: 46, 期号: 7, 页码: 980-992
作者:  Wang, Weiqun;  Hou, Zeng-Guang;  Cheng, Long;  Tong, Lina;  Peng, Liang;  Peng, Long;  Tan, Min
浏览  |  Adobe PDF(1512Kb)  |  收藏  |  浏览/下载：348/26  |  提交时间：2016/10/20
Friction Model  Lower Limb Rehabilitation Robot (Llrr)  Motion Intention Recognition  Optimization Of Exciting Trajectories  Recursive Optimization  
Optimal Formation of Multirobot Systems Based on a Recurrent Neural Network 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2016, 卷号: 27, 期号: 2, 页码: 322-333
作者:  Wang, Yunpeng;  Cheng, Long;  Hou, ZengGuang;  Yu, Junzhi;  Tan, Min
浏览  |  Adobe PDF(2069Kb)  |  收藏  |  浏览/下载：384/99  |  提交时间：2016/06/14
Combinational Optimization Problem  Multirobot System  Optimal Formation  Recurrent Neural Network  Shape Theory  
Neural-Network-Based Nonlinear Model Predictive Control for Piezoelectric Actuators 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2015, 卷号: 62, 期号: 12, 页码: 7717-7727
作者:  Cheng, Long;  Liu, Weichuan;  Hou, ZengGuang;  Yu, Junzhi;  Tan, Min
浏览  |  Adobe PDF(1541Kb)  |  收藏  |  浏览/下载：786/288  |  提交时间：2016/01/18
Neuralnetworks  Nonlinearautoregressive-moving-average With Exogenous Inputs (Narmax)  Piezoelectric Actuator (Pea)  Predictive Control  
Tracking Control of a Closed-Chain Five-Bar Robot With Two Degrees of Freedom by Integration of an Approximation-Based Approach and Mechanical Design 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2012, 卷号: 42, 期号: 5, 页码: 1470-1479
作者:  Cheng, Long;  Hou, Zeng-Guang;  Tan, Min;  Zhang, W. J.
收藏  |  浏览/下载：230/0  |  提交时间：2015/08/12
Adaptive  Backstepping  Closed-chain Robot  Design  Neural Network  Tracking  Transient Performance.