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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:177/47  |  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.  
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:191/58  |  提交时间:2021/02/22
Feature engineering  sensor data analysis  Internet of things (IoT) analytics  interpretable learning  automation.  
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:149/49  |  提交时间:2021/02/22
Electroencephalogram (EEG)  alcoholism  optimum allocation technique  feature extraction  decision table.  
Phenomenological Based Soft Sensor for Online Estimation of Slurry Rheological Properties 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 696-706
作者:  Jenny L. Diaz C.;  Diego A. Muñoz;  Hernan Alvarez
Adobe PDF(2306Kb)  |  收藏  |  浏览/下载:156/43  |  提交时间:2021/02/22
Soft sensor  phenomenological based semi-physical model  non-Newtonian fluids  unknown input observer  slurry flow.  
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
Adobe PDF(2179Kb)  |  收藏  |  浏览/下载:84/50  |  提交时间:2021/02/22
Nonlinear control  hybrid systems  mixed logical dynamic (MLD) model  predictive control  fuzzy supervisor.  
Development of STEP AP224 Extractor for Interfacing Feature Based CAPP to STEP-NC (AP238) 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 655-670
作者:  Deepanshu Srivastava;  Venkateswara Rao Komma
Adobe PDF(3913Kb)  |  收藏  |  浏览/下载:115/38  |  提交时间:2021/02/22
Reduced-order observer  discrete-time systems  Lipschitz systems  H∞  ARDUINO MEGA 2560 device.  
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:92/27  |  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:98/43  |  提交时间:2021/02/22
Control allocation  feasibility  fault tolerant control  model predictive control  domain of attraction.  
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
Adobe PDF(5332Kb)  |  收藏  |  浏览/下载:167/57  |  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).  
Zero-shot Fine-grained Classification by Deep Feature Learning with Semantics 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 563-574
作者:  Ao-Xue Li;  Ke-Xin Zhang;  Li-Wei Wang
Adobe PDF(1089Kb)  |  收藏  |  浏览/下载:183/55  |  提交时间:2021/02/22
Fine-grained image classification  zero-shot learning  deep feature learning  domain adaptation  semantic graph.