About Elsevier:
Elsevier helps researchers and healthcare professionals advance science and improve health outcomes for the benefit of society.
About the Journal:
With rapid development of advanced technologies, such as intelligent sensing and monitoring, communication networks, cloud/fog computing, big data analysis, artificial intelligence and so on, industrial control systems have been experiencing a huge revolution from a single point-to-point control fashion to a networked coordination control fashion. This revolution of control structures offers remarkable merits in improving reliability, efficiency, functionality, scalability and adaptability of systems. As a result, many practical applications of coordination control can be extensively found, especially in the fields of smart grids, intelligent transportation systems, unmanned aerial vehicles, autonomous underwater vehicles, smart factories and so on.
For practical networked industrial control systems, the large-scale integration of nodes and the tight coupling of cyber and physical elements become the current trend, which poses new technical and theoretical challenges in distributed coordination control design and implementation. These challenges focus mainly on how to effectively undertake intelligent control decisions and actions based on useful and reliable information refined from massive data and against various malicious cyber attacks. To confront these challenges, much effort has been made by researchers to accommodate the ever-increasing demand for guaranteeing data efficiency and reliability of networked industrial control systems by building on new techniques such as artificial intelligence based control, big data cloud computing, cyber security and so on.
Themes and Sub-themes for research:
This Special Issue aims to seek a series of the latest achievements in artificial intelligence and cyber security techniques-based coordination control for distributed networked industrial systems, furthermore, contributing to stimulating more interest of researchers in this field.
Potential topics of interest include, but are not limited to:
- Artificial intelligence-based coordination control of distributed networked industrial systems
- Distributed coordination control and power management in energy internet
- Platoon control of intelligent transportation systems
- Attack-resilient distributed coordination control of networked industrial systems
- Data-driven distributed coordination control of networked industrial systems
- Cybersecurity and privacy-preserving techniques for networked industrial systems
- Cloud-aided distributed coordination control of networked industrial systems
- Distributed formation control of autonomous underwater vehicles
- Distributed sensing, prediction, and estimation over wireless sensor networks
- Various applications of coordination control of distributed networked industrial systems
Control Engineering Practice is a premier IFAC journal that publishes papers with direct applications of profound control theory and its supporting tools in all possible areas of automation.
Guest Editor:
- Distinguished Professor Qing-Long Han, PhD, FIEEE, FIEAust
Pro Vice-Chancellor (Research Quality)
Swinburne University of Technology
Melbourne, VIC 3122, Australia
Email: [email protected] - Professor Lei Ding, PhD
Institute of Advanced Technology
Nanjing University of Posts and Telecommunications
Nanjing, 210023, P. R. China
Email: [email protected] - Dr. Xiaohua Ge
School of Software and Electrical Engineering
Swinburne University of Technology
Melbourne, VIC 3122, Australia
Email: [email protected]
Editor-in-Chief:
Professor Biao Huang, University of Alberta, Canada, [email protected]
Timelines:
- Submission Deadline: November 30, 2020
- First Round Notification: January 31, 2021
- Revised Manuscript Due: March 31, 2021
- Notification of Acceptance: May 31, 2021
- Final Manuscript Due: June 30, 2021
For more details, Click Here
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