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Vision-based control in the open racing car simulator with deep and reinforcement learning 期刊论文
Journal of Ambient Intelligence and Humanized Computing, 2019, 页码: doi={10.1007/s12652-019-01503-y}
作者:  Yuanheng Zhu;  Dongbin Zhao
Adobe PDF(2210Kb)  |  收藏  |  浏览/下载:42/9  |  提交时间:2023/04/26
Model predictive control-based depth control in gliding motion of a gliding robotic dolphin 期刊论文
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, 期号: 暂无, 页码: 1-12
作者:  Wang Jian(王健);  Wu Zhengxing;  Tan Min;  Yu Junzhi
Adobe PDF(2001Kb)  |  收藏  |  浏览/下载:159/47  |  提交时间:2021/06/04
Gliding motion  depth control  model predictive control (MPC)  underwater robotics  
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:161/50  |  提交时间:2021/02/22
Feature engineering  sensor data analysis  Internet of things (IoT) analytics  interpretable learning  automation.  
An Integrated MCI Detection Framework Based on Spectral-temporal Analysis 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 786-799
作者:  Jiao Yin;  Jinli Cao;  Siuly Siuly;  Hua Wang
浏览  |  Adobe PDF(2203Kb)  |  收藏  |  浏览/下载:148/41  |  提交时间:2021/02/22
Electroencephalogram (EEG)  dementia early detection  mild cognitive impairment (MCI)  stationary wavelet transformation (SWT)  support vector machine (SVM).  
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:133/45  |  提交时间:2021/02/22
Optimization  self organizing map (SOM)  SOM-based optimization (SOMO) algorithm  particle swarm optimization (PSO)  genetic algorithms (GAs).  
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
Adobe PDF(1548Kb)  |  收藏  |  浏览/下载:109/42  |  提交时间:2021/02/22
Pursuit-evasion  wheeled mobile robot  proportional navigation  trajectory planning  target interception.  
A Hybrid Time Frequency Response and Fuzzy Decision Tree for Non-stationary Signal Analysis and Pattern Recognition 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 3, 页码: 398-412
作者:  N. R. Nayak;  P. K. Dash;  R. Bisoi
Adobe PDF(1576Kb)  |  收藏  |  浏览/下载:116/38  |  提交时间:2021/02/22
Non-stationary signals  sparse S-transform (SST)  scaling method  fuzzy decision tree  pattern classification.  
Decomposition Based Fuzzy Model Predictive Control Approaches for Interconnected Nonlinear Systems 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 3, 页码: 369-388
作者:  Latifa Dalhoumi;  Mohamed Chtourou;  Mohamed Djemel
Adobe PDF(2371Kb)  |  收藏  |  浏览/下载:104/39  |  提交时间:2021/02/22
Model predictive control  centralized control  decentralized control  Takagi-Sugeno (TS) fuzzy models  interconnected nonlinear systems  fuzzy model predictive control  parallel distributed compensation.  
H∞ State Estimation for Stochastic Markovian Jumping Neural Network with Time-varying Delay and Leakage Delay 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 3, 页码: 329-340
作者:  Ya-Jun Li;  Zhao-Wen Huang;  Jing-Zhao Li
Adobe PDF(696Kb)  |  收藏  |  浏览/下载:157/44  |  提交时间:2021/02/22
H∞ filtering state estimation  Markovian jump  exponential stability  linear matrix inequality (LMI)  neural networks  time-varying delay  leakage delay.  
Emergency Supply Chain Management Based on Rough Set – House of Quality 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 3, 页码: 297-309
作者:  Yuan He;  Xue-Dong Liang;  Fu-Min Deng;  Zhi Li
浏览  |  Adobe PDF(932Kb)  |  收藏  |  浏览/下载:155/50  |  提交时间:2021/02/22
Emergency supply chain  Rough set  House of quality  management indicators  attribute reduction.