CASIA OpenIR
(本次检索基于用户作品认领结果)

浏览/检索结果: 共15条,第1-10条 帮助

限定条件                    
已选(0)清除 条数/页:   排序方式:
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  
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  
A recurrent neural network for hierarchical control of interconnected dynamic systems 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS, 2007, 卷号: 18, 期号: 2, 页码: 466-481
作者:  Hou, Zeng-Guang;  Gupta, Madan M.;  Nikiforuk, Peter N.;  Tan, Min;  Cheng, Long
收藏  |  浏览/下载:194/0  |  提交时间:2015/11/08
Dynamic Neural Networks  Goal Coordination  Hierarchical Control  Interconnected Systems  Large-scale Systems  Neural Networks  Optimal Control  Optimization  Recurrent Neural Networks  
Constrained multi-variable generalized predictive control using a dual neural network 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2007, 卷号: 16, 期号: 6, 页码: 505-512
作者:  Cheng, Long;  Hou, Zeng-Guang;  Tan, Min
收藏  |  浏览/下载:185/0  |  提交时间:2015/11/08
Multi-variable Generalized Predictive Control  Neural Networks  Dual Neural Network  Bounded Constraint  Optimization  
Relaxation Labeling using an improved Hopfield neural network 期刊论文
INTELLIGENT COMPUTING IN SIGNAL PROCESSING AND PATTERN RECOGNITION, 2006, 卷号: 345, 页码: 430-439
作者:  Cheng, Long;  Hou, Zeng-Guang;  Tan, Min;  Huang, DS;  Li, K;  Irwin, GW
收藏  |  浏览/下载:175/0  |  提交时间:2015/11/07
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.