Control and Learning Technologies and Applications for Network Systems with Autonomy, Safety, and Reliability Guarantees
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E2: Control Theory and Mechanics".
Deadline for manuscript submissions: closed (31 October 2024) | Viewed by 366
Special Issue Editors
Interests: distributed machine learning; cyber-physical systems; IoT networks
Interests: autonomous robot; multi-agent systems; network localization; formation control
Special Issues, Collections and Topics in MDPI journals
Interests: reinforcement learning; optimal control; adaptive dynamic programming; resilient control; computational intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue aims to present recent advances in control and learning technologies to improve the levels of autonomy, reliability, and safety of networked systems. These technologies are in demand and applications can be found in modern manufacturing, industrial process control, the Internet of Things, autonomous vehicle navigation and localization. It is challenging to answer how to further advance such fields via control and learning methods with reliability and safety certificates. This Special Issue aims to attract more research attention and to compile new theoretical concepts, new design and analysis tools, and novel application cases. Potential topics of interest include, but are not limited to, the following:
- Joint design of localization and formation tracking control;
- Learning and data-driven method for localization and formation control;
- Secure localization and formation control of networked systems;
- Localization and formation with safety guarantees;
- Dynamic positioning/path following/trajectory tracking/target tracking of autonomous systems including unmanned surface/underwater/ground/ aerial vehicles;
- Sensor fusion algorithms in mobile networks;
- Intelligent fault diagnosis and remaining useful life prediction;
- Industrial data analysis and reliability control;
- Intelligent transportation systems and computation;
- Internet of things and edge computing;
- Reinforcement learning for feedback control.
Dr. Li Jiang
Dr. Xu Fang
Prof. Dr. Ci Chen
Guest Editors
Manuscript Submission Information
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Keywords
- reinforcement learning
- learning-based localization and formation
- reliability and safety certificates
- smart manufacturing
- autonomous driving
- machine learning
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