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A Wide Learning Approach for Interpretable Feature Recommendation for 1-D Sensor Data in IoT Analytics 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 800-811
作者:  Snehasis Banerjee;  Tanushyam Chattopadhyay;  Utpal Garain
Adobe PDF(891Kb)  |  收藏  |  浏览/下载:247/66  |  提交时间:2021/02/22
Feature engineering  sensor data analysis  Internet of things (IoT) analytics  interpretable learning  automation.  
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
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Nonlinear control  hybrid systems  mixed logical dynamic (MLD) model  predictive control  fuzzy supervisor.  
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:158/76  |  提交时间:2021/02/22
3D overhead crane  adaptive control  hierarchical sliding mode control  neural network  radial basis function.  
Predictive Adaptive Kalman Filter and Its Application to INS/UWB-integrated Human Localization with Missing UWB-based Measurements 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 604-613
作者:  Yuan Xu;  Tao Shen;  Xi-Yuan Chen;  Li-Li Bu;  Ning Feng
浏览  |  Adobe PDF(4479Kb)  |  收藏  |  浏览/下载:174/55  |  提交时间:2021/02/22
Indoor human localization  tightly-coupled model  predictive filtering  Kalman filter  missing data.  
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:193/67  |  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
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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.  
Experimental Evaluation of Certain Pursuit and Evasion Schemes for Wheeled Mobile Robots 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 491-510
作者:  Amit Kumar;  Aparajita Ojha
Adobe PDF(1548Kb)  |  收藏  |  浏览/下载:141/55  |  提交时间:2021/02/22
Pursuit-evasion  wheeled mobile robot  proportional navigation  trajectory planning  target interception.  
Time-space Viewpoint Planning for Guard Robot with Chance Constraint 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 475-490
作者:  Igi Ardiyanto;  Jun Miura
Adobe PDF(1427Kb)  |  收藏  |  浏览/下载:143/58  |  提交时间:2021/02/22
Guard robot  viewpoint planning  state-time space  uncertainty  topology  chance-constraint.  
A Hybrid Time Frequency Response and Fuzzy Decision Tree for Non-stationary Signal Analysis and Pattern Recognition 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 3, 页码: 398-412
作者:  N. R. Nayak;  P. K. Dash;  R. Bisoi
Adobe PDF(1576Kb)  |  收藏  |  浏览/下载:161/51  |  提交时间:2021/02/22
Non-stationary signals  sparse S-transform (SST)  scaling method  fuzzy decision tree  pattern classification.  
Decomposition Based Fuzzy Model Predictive Control Approaches for Interconnected Nonlinear Systems 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 3, 页码: 369-388
作者:  Latifa Dalhoumi;  Mohamed Chtourou;  Mohamed Djemel
Adobe PDF(2371Kb)  |  收藏  |  浏览/下载:128/47  |  提交时间:2021/02/22
Model predictive control  centralized control  decentralized control  Takagi-Sugeno (TS) fuzzy models  interconnected nonlinear systems  fuzzy model predictive control  parallel distributed compensation.