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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：175/53  |  提交时间：2021/02/22
Feature engineering  sensor data analysis  Internet of things (IoT) analytics  interpretable learning  automation.  
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
浏览  |  Adobe PDF(1916Kb)  |  收藏  |  浏览/下载：83/41  |  提交时间：2021/02/22
Control allocation  feasibility  fault tolerant control  model predictive control  domain of attraction.  
A Linear Quadratic Controller Design Incorporating a Parametric Sensitivity Constraint 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 553-562
作者:  Mohamed Yagoubi
浏览  |  Adobe PDF(1651Kb)  |  收藏  |  浏览/下载：126/45  |  提交时间：2021/02/22
Linear quadratic control  parametric uncertainties  trajectory sensitivity  non-standard Riccati equation  Lur'e matrix equations  linear time invariant (LMI)  particle swarm optimization.  
Deep Learning Based Single Image Super-resolution: A Survey 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 413-426
作者:  Viet Khanh Ha;  Jin-Chang Ren;  Xin-Ying Xu;  Sophia Zhao;  Gang Xie;  Valentin Masero;  Amir Hussain
浏览  |  Adobe PDF(1389Kb)  |  收藏  |  浏览/下载：120/31  |  提交时间：2021/02/22
Image super-resolution  convolutional neural network  high-resolution image  low-resolution image  deep learning.