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Determination of Vertices and Edges in a Parametric Polytope to Analyze Root Indices of Robust Control Quality 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 828-837
作者:  Sergey Gayvoronskiy;  Tatiana Ezangina;  Ivan Khozhaev;  Viktor Kazmin
浏览  |  Adobe PDF(2103Kb)  |  收藏  |  浏览/下载：189/82  |  提交时间：2021/02/22
Robust control  parametric uncertainty  parametric polytope  interval parameters  system analysis.  
An Advanced Analysis System for Identifying Alcoholic Brain State Through EEG Signals 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 737-747
作者:  Siuly Siuly;  Varun Bajaj;  Abdulkadir Sengur;  Yanchun Zhang
浏览  |  Adobe PDF(4171Kb)  |  收藏  |  浏览/下载：174/57  |  提交时间：2021/02/22
Electroencephalogram (EEG)  alcoholism  optimum allocation technique  feature extraction  decision table.  
Predictive Control Based on Fuzzy Supervisor for PWARX Hybrid Model 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 683-695
作者:  Olfa Yahya;  Zeineb Lassoued;  Kamel Abderrahim
浏览  |  Adobe PDF(2179Kb)  |  收藏  |  浏览/下载：99/57  |  提交时间：2021/02/22
Nonlinear control  hybrid systems  mixed logical dynamic (MLD) model  predictive control  fuzzy supervisor.  
Dual-modal Physiological Feature Fusion-based Sleep Recognition Using CFS and RF Algorithm 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 3, 页码: 286-296
作者:  Bing-Tao Zhang;  Xiao-Peng Wang;  Yu Shen
浏览  |  Adobe PDF(847Kb)  |  收藏  |  浏览/下载：189/50  |  提交时间：2021/02/22
Feature fusion  mild difficulty in falling asleep (MDFA)  decision support tool  sleep issues  optimal feature set.  
A Reliability Aware Protocol for Cooperative Communication in Cognitive Radio Networks 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 1, 页码: 84-92
作者:  Munam Ali Shah;  Si-Jing Zhang;  Hong-Ji Yang
浏览  |  Adobe PDF(722Kb)  |  收藏  |  浏览/下载：128/47  |  提交时间：2021/02/22
Cognitive radio  common control channel  co-operative communication  medium access control (MAC) protocols  DTMC.  
Second-Order Sliding Mode Formation Control of Multiple Robots by Extreme Learning Machine 期刊论文
Symmetry, 2019, 卷号: 11, 期号: 12, 页码: 1-19
作者:  Zhang GG(张桂刚)
浏览  |  Adobe PDF(3470Kb)  |  收藏  |  浏览/下载：298/111  |  提交时间：2020/11/09
multirobot systems  formation maneuvers  super-twisting sliding mode control  
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
Adobe PDF(2339Kb)  |  收藏  |  浏览/下载：291/76  |  提交时间：2020/05/07
Seabed Terrain Following Control (STFC)  Seabed Terrain Prediction  Underwater Vehicle Control  UVMS  
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
Adobe PDF(2380Kb)  |  收藏  |  浏览/下载：322/77  |  提交时间：2020/05/07
Adaptive Tracking Differentiator (Atd)  Nonsingular Terminal Sliding-mode Control (Ntsmc)  Underwater Autonomous Manipulation  Vehicle–manipulator Coordinated Contron  
Second-Order Sliding Mode Formation Control of Multiple Robots by Extreme Learning Machine 期刊论文
SYMMETRY-BASEL, 2019, 卷号: 11, 期号: 12, 页码: 19
作者:  Qian, Dianwei;  Zhang, Guigang;  Wang, Jian;  Wu, Zhimin
Adobe PDF(3470Kb)  |  收藏  |  浏览/下载：341/64  |  提交时间：2020/03/30
multirobot systems  formation maneuvers  super-twisting sliding mode control  uncertainties  extreme learning machine  
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：307/67  |  提交时间：2020/03/30
IoT service composition  Temporal constraints  Concurrent requests  Energy efficiency