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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:192/82  |  提交时间:2021/02/22
Robust control  parametric uncertainty  parametric polytope  interval parameters  system analysis.  
Robust Disturbance Rejection Based Control with Extended-state Resonant Observer for Sway Reduction in Uncertain Tower-cranes 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 812-827
作者:  Horacio Coral-Enriquez;  Santiago Pulido-Guerrero;  John Cortés-Romero
浏览  |  Adobe PDF(2214Kb)  |  收藏  |  浏览/下载:206/59  |  提交时间:2021/02/22
Active disturbance rejection control (ADRC)  extended state observer (ESO)  tower-crane control  resonant observer  disturbance observer  linear matrix inequality.  
An Efficient Adaptive Hierarchical Sliding Mode Control Strategy Using Neural Networks for 3D Overhead Cranes 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 614-627
作者:  Viet-Anh Le;  Hai-Xuan Le;  Linh Nguyen;  Minh-Xuan Phan
浏览  |  Adobe PDF(1276Kb)  |  收藏  |  浏览/下载:160/76  |  提交时间:2021/02/22
3D overhead crane  adaptive control  hierarchical sliding mode control  neural network  radial basis function.  
Auto-tuning of FOPI Controllers for TITO Processes with Experimental Validation 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 589-603
作者:  Gargi Baruah;  Somanath Majhi;  Chitralekha Mahanta
浏览  |  Adobe PDF(5332Kb)  |  收藏  |  浏览/下载:195/68  |  提交时间:2021/02/22
Auto-tuning  fractional order proportional and integral (FOPI)  two-input two-output (TITO)  robust  relay with hysteresis  model reduction  coupled tank system (CTS).  
Control of a Two-wheeled Machine with Two-directions Handling Mechanism Using PID and PD-FLC Algorithms 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 511-533
作者:  Khaled M. Goher;  Sulaiman O. Fadlallah
Adobe PDF(2563Kb)  |  收藏  |  浏览/下载:156/50  |  提交时间:2021/02/22
Two-wheeled inverted pendulum (IP) with two direction handling  Lagrangian formulation  proportional-integral-derivative (PID)  fuzzy logic control (FLC)  under-actuated systems.  
Design of FOPI Controller for Time Delay Systems and Its Experimental Validation 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 3, 页码: 310-328
作者:  Gargi Baruah;  Somanath Majhi;  Chitralekha Mahanta
Adobe PDF(5402Kb)  |  收藏  |  浏览/下载:161/45  |  提交时间:2021/02/22
Auto-tuning  fractional order proportional integral (FOPI)  first order plus dead time (FOPDT)  balanced tuning  coupled tank system (CTS).  
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:299/112  |  提交时间:2020/11/09
multirobot systems  formation maneuvers  super-twisting sliding mode control  
ROS-Based Depth Control for Hybrid-Driven Underwater Vehicle-Manipulator System 会议论文
, Guangzhou, China, 27-30 July 2019
作者:  Cai, Mingxue;  Wang, Yu;  Wang, Shuo;  Wang, Rui;  Tan, Min
浏览  |  Adobe PDF(346Kb)  |  收藏  |  浏览/下载:330/104  |  提交时间:2020/05/07
Depth Control  Adaptive Smc  Underwater Vehicle-manipulator System  Ros  
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
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Seabed Terrain Following Control (STFC)  Seabed Terrain Prediction  Underwater Vehicle Control  UVMS  
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
浏览  |  Adobe PDF(3470Kb)  |  收藏  |  浏览/下载:345/66  |  提交时间:2020/03/30
multirobot systems  formation maneuvers  super-twisting sliding mode control  uncertainties  extreme learning machine