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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:140/67  |  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
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Two-wheeled inverted pendulum (IP) with two direction handling  Lagrangian formulation  proportional-integral-derivative (PID)  fuzzy logic control (FLC)  under-actuated systems.  
Development and Modeling of Remotely Operated Scaled Multi-wheeled Combat Vehicle Using System Identification 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 3, 页码: 261-273
作者:  A. N. Ouda;  Amr Mohamed;  Moustafa EI-Gindy;  Haoxiang Lang;  Jing Ren
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Autonomous multi-wheeled vehicle  system identification  all wheel steering  fuzzy logic (FL)  parametric identification.  
Adaptive Neural State-Feedback Tracking Control of Stochastic Nonlinear Switched Systems: An Average Dwell-Time Method 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 4, 页码: 1076-1087
作者:  Niu, Ben;  Wang, Ding;  Alotaibi, Naif D.;  Alsaadi, Fuad E.
收藏  |  浏览/下载:238/0  |  提交时间:2019/12/16
Adaptive tracking control  average dwell time (ADT)  neural networks (NNs)  nonstrict-feedback structure  stochastic nonlinear systems  switched nonlinear systems  
Neural Network Filtering Control Design for Nontriangular Structure Switched Nonlinear Systems in Finite Time 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 7, 页码: 2153-2162
作者:  Sui, Shuai;  Chen, C. L. Philip;  Tong, Shaocheng
收藏  |  浏览/下载:262/0  |  提交时间:2019/12/16
Common Lyapunov function  finite time  non-triangular structure  switched systems  
Adaptive Tracking Control of Surface Vessel Using Optimized Backstepping Technique 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 卷号: 49, 期号: 9, 页码: 3420-3431
作者:  Wen, Guoxing;  Ge, Shuzhi Sam;  Chen, C. L. Philip;  Tu, Fangwen;  Wang, Shengnan
收藏  |  浏览/下载:185/0  |  提交时间:2019/12/16
Actor-critic architecture  Lyapunov stability  optimized backstepping (OB)  reinforcement learning (RL)  surface vessel  
Robust fuzzy tracking control for flexible air-breathing hypersonic vehicles with measurement noises 期刊论文
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2019, 卷号: 41, 期号: 13, 页码: 3818-3835
作者:  Liu, Yifan;  Sun, Jinlin;  Pu, Zhiqiang;  Yi, Jianqiang;  Pu, Shiliang
Adobe PDF(1251Kb)  |  收藏  |  浏览/下载:285/0  |  提交时间:2019/12/16
Hypersonic vehicle  measurement noise  adaptive fuzzy control  dynamic surface control  type-2 fuzzy logic system  
Adaptive Fuzzy Output Feedback Quantized Control for Uncertain Nonlinear Hysteretic Systems Using a New Feedback-Based Quantizer 期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2019, 卷号: 27, 期号: 9, 页码: 1738-1752
作者:  Wu, Honghui;  Liu, Zhi;  Zhang, Yun;  Chen, C. L. Philip
收藏  |  浏览/下载:180/0  |  提交时间:2019/12/16
Actuator hysteresis  fuzzy logic systems (FLSs)  input quantization  output feedback  nonlinear systems  
Vision-Based Autonomous Hovering for the Biomimetic Underwater Robot-RobCutt-II 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2019, 卷号: 66, 期号: 11, 页码: 8578-8588
作者:  Wang, Rui;  Wang, Shuo;  Wang, Yu;  Cai, Mingxue;  Tan, Min
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Autonomous hovering  biomimetic underwater robot  dual fins  undulatory propulsion  visual servoing  
Fuzzy Adaptive Finite-Time Control Design for Nontriangular Stochastic Nonlinear Systems 期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2019, 卷号: 27, 期号: 1, 页码: 172-184
作者:  Sui, Shuai;  Chen, C. L. Philip;  Tong, Shaocheng
收藏  |  浏览/下载:229/0  |  提交时间:2019/07/12
Multiple-input and multiple-output (MIMO) stochastic nonlinear systems  nontriangular form  state filter  stochastically finite-time control