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Designing an Intelligent Control Philosophy in Reservoirs of Water Transfer Networks in Supervisory Control and Data Acquisition System Stations 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 694-717
作者:  Ali Dolatshahi Zand, Kaveh Khalili-Damghani, Sadigh Raissi
Adobe PDF(9772Kb)  |  收藏  |  浏览/下载：205/50  |  提交时间：2021/09/13
Water demand forecasting  water transfer network  supervisory control and data acquisition  water management, multi-core artificial neural network, fuzzy inference system  
Fuzzy Tuned PID Controller for Envisioned Agricultural Manipulator 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 568-580
作者:  Satyam Paul;  Ajay Arunachalam;  Davood Khodadad;  Henrik Andreasson;  Olena Rubanenko
Adobe PDF(1952Kb)  |  收藏  |  浏览/下载：181/56  |  提交时间：2021/07/20
Proportional-integral-differential (PID) controller  fuzzy logic  precision agriculture  vibration control  stability analysis  modular manipulator  agricultural robot  computer numerical control (CNC) farming  
An Advanced Prediction Mechanism to Analyse Pore Geometry Shapes and Identification of Blocking Effect in VRLA Battery System 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 1, 页码: 21-32
作者:  Alessandro Mariani;  Kary Thanapalan1 Peter Stevenson;  Jonathan Williams
浏览  |  Adobe PDF(18338Kb)  |  收藏  |  浏览/下载：103/41  |  提交时间：2021/02/23
Positive active material  crystal structure  valve regulated lead acid (VRLA) batteries  modelling, estimation and recovery techniques.  
A Practical Approach to Representation of Real-time Building Control Applications in Simulation 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 3, 页码: 464-478
作者:  Azzedine Yahiaoui
浏览  |  Adobe PDF(2140Kb)  |  收藏  |  浏览/下载：175/56  |  提交时间：2021/02/22
Distributed dynamic simulation  networked control systems  building performance applications  smart buildings  building automation and control systems (BACS) architecture.  
Ground-level Ozone Prediction Using Machine Learning Techniques: A Case Study in Amman, Jordan 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 5, 页码: 667-677
作者:  Maryam Aljanabi;  Mohammad Shkoukani;  Mohammad Hijjawi
浏览  |  Adobe PDF(1159Kb)  |  收藏  |  浏览/下载：85/24  |  提交时间：2021/02/22
Ozone prediction  machine learning  neural networks  supervised learning  regression.