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CASIA OpenIR
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Disturbance Observer Based Control for an Underwater Biomimetic Vehicle-Manipulator System with Mismatched Disturbances 会议论文
, Suzhou, China, 2021.5.14-2021.5.16
作者:  Lv, Jiaqi;  Wang, Yu;  Wang, Shuo;  Cheng, Long;  Tan, Min
Adobe PDF(1182Kb)  |  收藏  |  浏览/下载：138/46  |  提交时间：2023/06/25
Underwater biomimetic vehicle-manipulator system (UBVMS)  disturbance observer  arctangent non-singularity sliding mode controller (ANTSMC)  mismatched disturbances  
Autonomous Skill Learning of Water Polo Ball Heading for a Robotic Fish: Curriculum and Verification 期刊论文
IEEE Transactions on Cognitive and Developmental Systems, 2023, 卷号: 15, 期号: 2, 页码: 865 - 876
作者:  Zhang Tiandong;  Wang Rui;  Wang Shuo;  Wang Yu;  Cheng Long;  Zheng Gang;  Tan Min
Adobe PDF(3052Kb)  |  收藏  |  浏览/下载：160/51  |  提交时间：2023/06/14
A speed measurement method for underwater robots using an artificial lateral line sensor 期刊论文
Smart Materials and Structures, 2021, 卷号: 31, 期号: 1, 页码: 015011
作者:  Zhang,Zhuoliang;  Zhou,Chao;  Cao,Zhiqiang;  Tan,Min;  Cheng,Long;  Deng,Sai;  Fan,Junfeng
Adobe PDF(1224Kb)  |  收藏  |  浏览/下载：347/42  |  提交时间：2021/12/28
artificial lateral line  speed of underwater robot  hybrid loss function  calibration in noisy environment  flow sensor  
Prediction-Based Seabed Terrain Following Control for an Underwater Vehicle-Manipulator System 期刊论文
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, 卷号: 51, 期号: 无, 页码: 无
作者:  Cai, Mingxue;  Wang, Yu;  Wang, Shuo;  Wang, Rui;  Cheng, Long;  Tan, Min
浏览  |  Adobe PDF(2339Kb)  |  收藏  |  浏览/下载：296/78  |  提交时间：2020/05/07
Seabed Terrain Following Control (STFC)  Seabed Terrain Prediction  Underwater Vehicle Control  UVMS  
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：395/103  |  提交时间：2016/06/14
Combinational Optimization Problem  Multirobot System  Optimal Formation  Recurrent Neural Network  Shape Theory  
Reaching a stochastic consensus in the noisy networks of linear MIMO agents: Dynamic output-feedback and convergence rate 期刊论文
SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2016, 卷号: 59, 期号: 1, 页码: 45-54
作者:  Wang YunPeng;  Cheng Long;  Yang ChenGuang;  Hou ZengGuang;  Tan Min
浏览  |  Adobe PDF(995Kb)  |  收藏  |  浏览/下载：322/58  |  提交时间：2016/03/19
Multi-agent System  Mean Square Consensus  Communication Noise  Noise-attenuation Gain  Convergence Rate  
A neutral-type delayed projection neural network for solving nonlinear variational inequalities 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2008, 卷号: 55, 期号: 8, 页码: 806-810
作者:  Cheng, Long;  Hou, Zeng-Guang;  Tan, Min
收藏  |  浏览/下载：243/0  |  提交时间：2015/11/08
Neutral-type Delay  Projection Neural Network  Variational Inequality (Vi)  
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：187/0  |  提交时间：2015/11/08
Multi-variable Generalized Predictive Control  Neural Networks  Dual Neural Network  Bounded Constraint  Optimization  
Recurrent Neural Network for Non-Smooth Convex Optimization Problems With Application to the Identification of Genetic Regulatory Networks 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS, 2011, 卷号: 22, 期号: 5, 页码: 714-726
作者:  Cheng, Long;  Hou, Zeng-Guang;  Lin, Yingzi;  Tan, Min;  Zhang, Wenjun Chris;  Wu, Fang-Xiang
收藏  |  浏览/下载：184/0  |  提交时间：2015/08/12
Convex  Genetic Regulatory Network  Identification  Non-smooth Optimization Problem  Recurrent Neural Network  
Neural-Network-Based Adaptive Leader-Following Control for Multiagent Systems with Uncertainties 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS, 2010, 卷号: 21, 期号: 8, 页码: 1351-1358
作者:  Cheng, Long;  Hou, Zeng-Guang;  Tan, Min;  Lin, Yingzi;  Zhang, Wenjun
收藏  |  浏览/下载：197/0  |  提交时间：2015/08/12
Adaptive  Leader-following Control  Multiagent System  Neural Networks  Uncertainty