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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
浏览  |   Adobe PDF(2214Kb)  |   收藏  |  浏览/下载:206/59  |  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
浏览  |   Adobe PDF(891Kb)  |   收藏  |  浏览/下载:250/67  |  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
浏览  |   Adobe PDF(4171Kb)  |   收藏  |  浏览/下载:176/57  |  提交时间:2021/02/22 Electroencephalogram (EEG) alcoholism optimum allocation technique feature extraction decision table. |
| Transfer Hierarchical Attention Network for Generative Dialog System 期刊论文 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 720-736 作者: Xiang Zhang; Qiang Yang
浏览  |   Adobe PDF(1145Kb)  |   收藏  |  浏览/下载:114/36  |  提交时间:2021/02/22 Dialog system transfer learning deep learning natural language processing (NLP) artificial intelligence. |
| 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
浏览  |   Adobe PDF(2179Kb)  |   收藏  |  浏览/下载:102/59  |  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
浏览  |   Adobe PDF(3913Kb)  |   收藏  |  浏览/下载:143/43  |  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:149/52  |  提交时间:2021/02/22 Control allocation feasibility fault tolerant control model predictive control domain of attraction. |
| 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
浏览  |   Adobe PDF(1089Kb)  |   收藏  |  浏览/下载:210/63  |  提交时间:2021/02/22 Fine-grained image classification zero-shot learning deep feature learning domain adaptation semantic graph. |
| Synthesizing Robot Programs with Interactive Tutor Mode 期刊论文 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 462-474 作者: Hao Li; Yu-Ping Wang; Tai-Jiang Mu
浏览  |   Adobe PDF(1023Kb)  |   收藏  |  浏览/下载:155/63  |  提交时间:2021/02/22 Human-robot interaction semantic parsing program synthesis intelligent robotic systems natural language understanding. |
| 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:159/42  |  提交时间:2021/02/22 Image super-resolution convolutional neural network high-resolution image low-resolution image deep learning. |