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| Continuous Probabilistic SLAM Solved via Iterated Conditional Modes 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 838-850
作者: J. Gimenez; A. Amicarelli; J. M. Toibero; F. di Sciascio; R. Carelli
 浏览 |  Adobe PDF(2980Kb) |  收藏 | 浏览/下载：205/68 | 提交时间：2021/02/22
Probabilistic simultaneous localization and mapping (SLAM) dynamic obstacles Markov random fields (MRF) iterated conditional modes (ICM) kernel estimator. |
| 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：143/48 | 提交时间：2021/02/22
Electroencephalogram (EEG) alcoholism optimum allocation technique feature extraction decision table. |
| A Survey on 3D Visual Tracking of Multicopters 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 707-719
作者: Qiang Fu; Xiang-Yang Chen; Wei He
浏览 | Adobe PDF(1299Kb) | 收藏 | 浏览/下载：155/53 | 提交时间：2021/02/22
Multicopter three-dimensional (3D) visual tracking camera placement camera calibration pose estimation. |
| 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
浏览 | Adobe PDF(2306Kb) | 收藏 | 浏览/下载：151/42 | 提交时间：2021/02/22
Soft sensor phenomenological based semi-physical model non-Newtonian fluids unknown input observer slurry flow. |
| 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. |
| 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：138/66 | 提交时间：2021/02/22
3D overhead crane adaptive control hierarchical sliding mode control neural network radial basis function. |
| 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：161/54 | 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
浏览 | Adobe PDF(2563Kb) | 收藏 | 浏览/下载：125/42 | 提交时间：2021/02/22
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
浏览 | Adobe PDF(1548Kb) | 收藏 | 浏览/下载：114/44 | 提交时间：2021/02/22
Pursuit-evasion wheeled mobile robot proportional navigation trajectory planning target interception. |
| 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：121/31 | 提交时间：2021/02/22
Image super-resolution convolutional neural network high-resolution image low-resolution image deep learning. |
