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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:240/79  |  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. |
| 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. |
| 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:176/57  |  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:178/49  |  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:102/59  |  提交时间:2021/02/22 Nonlinear control hybrid systems mixed logical dynamic (MLD) model predictive control fuzzy supervisor. |
| 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 浏览  |  Adobe PDF(1366Kb)  |  收藏  |  浏览/下载:117/34  |  提交时间:2021/02/22 Reduced-order observer discrete-time systems Lipschitz systems H∞ ARDUINO MEGA 2560 device. |
| 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:160/76  |  提交时间:2021/02/22 3D overhead crane adaptive control hierarchical sliding mode control neural network radial basis function. |
| 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:159/54  |  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. |
| Stabilization for a Class of Discrete-time Switched Large-scale Systems with Parameter Uncertainties 期刊论文 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 543-552 作者: Chang-Chun Sun 浏览  |  Adobe PDF(1611Kb)  |  收藏  |  浏览/下载:129/55  |  提交时间:2021/02/22 Switched large-scale systems discrete-time state feedback decentralized control switching law. |
| Convergence Analysis of a New MaxMin-SOMO Algorithm 期刊论文 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 534-542 作者: Atlas Khan; Yan-Peng Qu 浏览  |  Adobe PDF(1429Kb)  |  收藏  |  浏览/下载:174/58  |  提交时间:2021/02/22 Optimization self organizing map (SOM) SOM-based optimization (SOMO) algorithm particle swarm optimization (PSO) genetic algorithms (GAs). |