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Coordinated Formation Design of Multi-Robot Systems via an Adaptive-Gain Super-Twisting Sliding Mode Method 期刊论文
Applied Sciences, 2019, 卷号: 9, 期号: 9, 页码: 1-19
作者:  Zhang GG(张桂刚)
浏览  |  Adobe PDF(1483Kb)  |  收藏  |  浏览/下载：205/68  |  提交时间：2020/11/09
multi-robot systems, formation maneuvers, sliding mode control, adaptive  
Adaptive Trajectory Tracking of Wheeled Mobile Robots Based on a Fish-Eye Camera 期刊论文
International Journal of Control, Automation and Systems, 2019, 卷号: 17, 期号: 9, 页码: 2297-2309
作者:  Zou W(邹伟);  Kang ZB(亢兆兵);  Ma HX(马洪轩)
浏览  |  Adobe PDF(1258Kb)  |  收藏  |  浏览/下载：191/67  |  提交时间：2020/10/22
Adaptive control  Pose estimation  Visual trajectory tracking  Wheeled mobile robots.  
Connecting Model-Based and Model-Free Control With Emotion Modulation in Learning Systems 期刊论文
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, 卷号: 10, 期号: 4, 页码: 1-15
作者:  Huang, Xiao;  Wu, Wei;  Qiao, Hong
浏览  |  Adobe PDF(1614Kb)  |  收藏  |  浏览/下载：286/95  |  提交时间：2020/06/09
Brain-inspired computing  decision-making  emotion modulation  emotion-cognition interactions  reinforcement learning  
Coordinated Control of Underwater Biomimetic Vehicle-Manipulator System for Free Floating Autonomous Manipulation 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, Shuo;  Wang, Yu;  Wang, Rui;  Tan, Min
浏览  |  Adobe PDF(2380Kb)  |  收藏  |  浏览/下载：307/74  |  提交时间：2020/05/07
Adaptive Tracking Differentiator (Atd)  Nonsingular Terminal Sliding-mode Control (Ntsmc)  Underwater Autonomous Manipulation  Vehicle–manipulator Coordinated Contron  
Energy-Efficient IoT Service Composition for Concurrent Timed Applications 期刊论文
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2019, 卷号: 100, 页码: 1017-1030
作者:  Sun, Mengyu;  Zhou, Zhangbing;  Wang, Junping;  Du, Chu;  Gaaloul, Walid
Adobe PDF(1192Kb)  |  收藏  |  浏览/下载：279/54  |  提交时间：2020/03/30
IoT service composition  Temporal constraints  Concurrent requests  Energy efficiency  
Dynamics and Switching Control of a Class of Underactuated Mechanical Systems with Variant Constraints 期刊论文
APPLIED SCIENCES-BASEL, 2019, 卷号: 9, 期号: 20, 页码: 20
作者:  Su, Tingting;  Liang, Xu;  He, Guangping;  Jia, Taoming;  Zhao, Quanliang;  Zhao, Lei
浏览  |  Adobe PDF(1188Kb)  |  收藏  |  浏览/下载：330/58  |  提交时间：2020/03/30
dynamics modeling  orbital stability  robots  switching control  variant constraints  
PKGCN: prior knowledge enhanced graph convolutional network for graph-based semi-supervised learning 期刊论文
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2019, 卷号: 10, 期号: 11, 页码: 3115-3127
作者:  Yu, Shaowei;  Yang, Xuebing;  Zhang, Wensheng
浏览  |  Adobe PDF(1959Kb)  |  收藏  |  浏览/下载：319/44  |  提交时间：2020/03/30
Graph convolutional network  Semi-supervised learning  Prior knowledge  Node classification  
Coordinated Formation Design of Multi-Robot Systems via an Adaptive-Gain Super-Twisting Sliding Mode Method 期刊论文
APPLIED SCIENCES-BASEL, 2019, 卷号: 9, 期号: 20, 页码: 19
作者:  Qian, Dianwei;  Zhang, Guigang;  Chen, Jiarong;  Wang, Jian;  Wu, Zhimin
浏览  |  Adobe PDF(1483Kb)  |  收藏  |  浏览/下载：363/83  |  提交时间：2020/03/30
second order sliding mode control  adaptive control  formation control  multiple robots  super twisting law  
A Novel and Efficient CVAE-GAN-Based Approach With Informative Manifold for Semi-Supervised Anomaly Detection 期刊论文
IEEE ACCESS, 2019, 卷号: 2019, 期号: 7, 页码: 88903-88916
作者:  Bian, Jiang;  Hui, Xiaolong;  Sun, Shiying;  Zhao, Xiaoguang;  Tan, Min
浏览  |  Adobe PDF(31078Kb)  |  收藏  |  浏览/下载：336/47  |  提交时间：2019/12/16
Semi-supervised anomaly detection  conditional variational auto-encoder  generative adversarial networks  informative manifold  structural similarity loss  
From Rough to Precise: Human-Inspired Phased Target Learning Framework for Redundant Musculoskeletal Systems 期刊论文
FRONTIERS IN NEUROROBOTICS, 2019, 卷号: 13, 期号: 61, 页码: 14
作者:  Zhou, Junjie;  Chen, Jiahao;  Deng, Hu;  Qiao, Hong
Adobe PDF(3654Kb)  |  收藏  |  浏览/下载：371/44  |  提交时间：2019/12/16
musculoskeletal system  human-inspired motion learning  noise in nervous system  reinforcement learning  phased target learning