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| A hybrid formation control design for multi-robot system with obstacle avoidance 会议论文
, Guangzhou, July 27-30
作者: Wu Shiguang ; Sui Zezhi; Yi Jianqiang; Pu Zhiqiang
 Adobe PDF(751Kb) |  收藏 | 浏览/下载：114/41 | 提交时间：2022/06/16 |
| Selection of Observation Position and Orientation in Visual Servoing with Eye-in-vehicle Configuration for Manipulator 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 761-774
作者: Ma HX(马洪轩); Zou W(邹伟); Zhu Z(朱政); Zhang C(张弛); Kang ZB(亢兆兵)
Adobe PDF(3894Kb) | 收藏 | 浏览/下载：135/33 | 提交时间：2021/06/04
Eye-in-vehicle observation position mobile robot visual servoing pan-tilt camera platform |
| 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：128/63 | 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
 Adobe PDF(2214Kb) | 收藏 | 浏览/下载：150/39 | 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. |
| Selection of Observation Position and Orientation in Visual Servoing with Eye-in-vehicle Configuration for Manipulator 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 761-774
作者: Hong-Xuan Ma; Wei Zou; Zheng Zhu; Chi Zhang; Zhao-Bing Kang
Adobe PDF(3894Kb) | 收藏 | 浏览/下载：134/30 | 提交时间：2021/02/22
Eye-in-vehicle observation position mobile robot visual servoing pan-tilt camera platform. |
| 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
Adobe PDF(4171Kb) | 收藏 | 浏览/下载：123/41 | 提交时间：2021/02/22
Electroencephalogram (EEG) alcoholism optimum allocation technique feature extraction decision table. |
| New LMI Conditions for Reduced-order Observer of Lipschitz Discrete-time Systems: Numerical and Experimental Results 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 644-654
作者: Noussaiba Gasmi; Assem Thabet; Mohamed Aoun
Adobe PDF(1366Kb) | 收藏 | 浏览/下载：79/23 | 提交时间：2021/02/22
Reduced-order observer discrete-time systems Lipschitz systems H∞ ARDUINO MEGA 2560 device. |
| A Fault Tolerant Control Scheme Using the Feasible Constrained Control Allocation Strategy 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 628-643
作者: Mehdi Naderi; Tor Arne Johansen; Ali Khaki Sedigh
Adobe PDF(1916Kb) | 收藏 | 浏览/下载：71/38 | 提交时间：2021/02/22
Control allocation feasibility fault tolerant control model predictive control domain of attraction. |
| 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：132/62 | 提交时间：2021/02/22
3D overhead crane adaptive control hierarchical sliding mode control neural network radial basis function. |
| 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：107/40 | 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. |
