IEEE Open Journal of Control Systems – Special Section: Intersection of Machine Learning with Control Section 
IEEE Open Journal of Control Systems
Special Section:
Intersection of Machine Learning with Control
Submission Window: 1 November – 31 December 2021
Unprecedented technological advances have fueled the creation of devices that can collect, generate, store, and transfer large amounts of data. This massive data outpour is profoundly changing the way in which complex engineering problems are solved, calling for the conception of new interdisciplinary tools at the intersection of machine learning, dynamic systems and control, and optimization. While the repurposing of control theories building on new Machine Learning methods can be highly successful, Dynamic Systems and Control can greatly contribute to analyze and devise novel adaptive, safety-critical controllers with performance guarantees. This special issue aims to contribute to this growing area of interest and calls thus for papers in this topical area.
Keywords:
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- Machine learning for dimensionality reduction and system identification
- Emerging applications for learning-based control
- Data-driven optimization and control for dynamical systems
- Safe reinforcement learning and safe adaptive control
- Bridging model-based and learning-based control systems
- Distributed learning over distributed systems
- Reinforcement learning for multiagent systems
- Optimization, dynamics and control for machine learning
- Reinforcement learning and statistical learning for dynamical and control systems
- Offer: APCs waived for the first 20 accepted papers!
Important Dates:
Submission window: 1 November -- 31 December 2021
Final notification of regular papers: 20 weeks after initial submission
Final manuscript submission: 21 weeks after initial submission
Manuscript online publication: 23 weeks after initial submission
Submission Guidelines:
All manuscripts should be prepared in accordance with the IEEE Author Guidelines and submitted throughhttps://css.paperplaza.net/. More information on submissions, including accepted article types, can be found in the Author Resources.
IEEE OPEN JOURNAL OF CONTROL SYSTEMS is a new rapid turnaround, open access, and rigorously peer-reviewed IEEE Control Systems Society publication that expands its journal program to offer original research across the broad spectrum of all areas of Dynamic Systems and Controls. The new journal aims to publish high-quality papers on the theory, design, optimization, and applications of dynamic systems and control.
EDITOR-IN-CHIEF
Prof. Sonia Martínez, Dr. PhD
Jacobs Faculty Scholar
Department of Mechanical and Aerospace Engineering
University of California, San Diego