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| Dynamic Event-triggered Control and Estimation: A Survey 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 857-886 作者: Xiaohua Ge; Qing-Long Han; Xian-Ming Zhang; Derui Ding Adobe PDF(3887Kb)  |  收藏  |  浏览/下载:232/42  |  提交时间:2021/11/26 Networked systems dynamic event-triggered control dynamic event-triggered estimation dynamic event-triggered mechanisms vehicle active suspension system water distribution and supply system |
| A Fast Vision-inertial Odometer Based on Line Midpoint Descriptor 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 667-669 作者: Wen-Kuan Li; Hao-Yuan Cai; Sheng-Lin Zhao; Ya-Qian Liu; Chun-Xiu Liu Adobe PDF(10350Kb)  |  收藏  |  浏览/下载:205/50  |  提交时间:2021/07/20 High efficiency visual-inertial odometry (VIO) non-linear optimization points and lines sliding window |
| Event-based Control and Filtering of Networked Systems: A Survey 期刊论文 International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 3, 页码: 239-253 作者: Lei Zou; Zi-Dong Wang; Dong-Hua Zhou 浏览  |  Adobe PDF(3631Kb)  |  收藏  |  浏览/下载:197/44  |  提交时间:2021/02/23 Event-triggered transmission networked systems event-based control event-based filtering event-triggered distributed state estimation distributed control with event-based protocol. |
| Rail Detection Based on LSD and the Least Square Curve Fitting 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 1, 页码: 85-95 作者: Yun-Shui Zheng; Yan-Wei Jin 浏览  |  Adobe PDF(1314Kb)  |  收藏  |  浏览/下载:296/100  |  提交时间:2021/02/23 Rail inspection line segment detector (LSD) algorithm the least square curve fitting foreign object detection |
| Resilient Control for Networked Control Systems Subject to Cyber/Physical Attacks 期刊论文 International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 3, 页码: 345-354 作者: Taouba Rhouma; Karim Chabir; Mohamed Naceur Abdelkrim 浏览  |  Adobe PDF(1659Kb)  |  收藏  |  浏览/下载:171/68  |  提交时间:2021/02/23 Networked control systems (NCSs) cyber physical attacks Kalman filtering resilient control anomaly detector. |
| Recursive Bayesian Algorithm for Identification of Systems with Non-uniformly Sampled Input Data 期刊论文 International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 3, 页码: 335-344 作者: Shao-Xue Jing; Tian-Hong Pan; Zheng-Ming Li 浏览  |  Adobe PDF(1082Kb)  |  收藏  |  浏览/下载:168/58  |  提交时间:2021/02/23 Parameter estimation discrete time systems Gaussian noise Bayesian algorithm covariance resetting. |
| Iterated Conditional Modes to Solve Simultaneous Localization and Mapping in Markov Random Fields Context 期刊论文 International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 3, 页码: 310-324 作者: J. Gimenez; A. Amicarelli; J. M. Toibero; F. di Sciascio; R. Carelli 浏览  |  Adobe PDF(1975Kb)  |  收藏  |  浏览/下载:155/52  |  提交时间:2021/02/23 Simultaneous localization and mapping Markov random fields iterated conditional modes modelling on-line solver. |
| Multi-sensor Data Fusion for Wheelchair Position Estimation with Unscented Kalman Filter 期刊论文 International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 2, 页码: 207-217 作者: Derradji Nada1 Mounir Bousbia-Salah; Maamar Bettayeb 浏览  |  Adobe PDF(12738Kb)  |  收藏  |  浏览/下载:126/31  |  提交时间:2021/02/23 Data fusion unscented Kalman filter (UKF) measurement fusion (MF) navigation state vector fusion (SVF) wheelchair. |
| State Estimation Using Non-uniform and Delayed Information: A Review 期刊论文 International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 2, 页码: 125-141 作者: Jhon A. Isaza; Hector A. Botero; Hernan Alvarez 浏览  |  Adobe PDF(1233Kb)  |  收藏  |  浏览/下载:156/49  |  提交时间:2021/02/23 State estimation asynchronism delayed measurement non-uniform information taxonomy. |
| Analysis of the Most Likely Regions of Stability of an NCS and Design of the Corresponding Event-driven Controller 期刊论文 International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 1, 页码: 39-51 作者: Ana Paula Batista; Fábio Gonçalves Jota 浏览  |  Adobe PDF(906Kb)  |  收藏  |  浏览/下载:140/57  |  提交时间:2021/02/23 Networked control systems real NCS delay compensation most likely regions of stability delay statistics. |