NEW OPEN ACCESS JOURNAL: IEEE Open Journal of Control Systems (OJCS)
NEW JOURNAL IN 2022!
Get Your Papers Ready – Submission Site
Open by October 15, 2021!
IEEE OPEN JOURNAL OF CONTROL SYSTEMS is a 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, while promoting open access to all control systems research and education publications, including software, and data.
Some journal highlights include:
- Special emphasis areas are the interplay between data science and control, and the interdisciplinary connection of dynamic systems and controls with diverse applications in biological, social, cognitive, and cyber-physical systems.
- New publication categories will be featured in addition to regular papers, including overview, position, open software/testbed tutorial papers, and reproducible papers in dynamic systems and controls.
- Upcoming Special Sections and Issues covering state-of-the-art, trending topics will be announced soon.
SCOPE
The field integrates elements of sensing, communication, decision and actuation components, as relevant for the analysis, design and operation of dynamic systems and control. The systems considered include: technological, physical, biological, economic, organizational and other entities, and combinations thereof. Other keywords include:
Adaptive systems
Agents and Autonomous systems
Cognitive systems and their control
Communication networks
Biomolecular systems
Computational methods
Decision theory
Delay systems
Embedded systems
Finance, economic systems
Formal verification synthesis
Healthcare and medical systems
Human in the loop systems
Information theory and control
Machine Learning and control
Mechatronics
Network analysis and control
Systems analysis, stability, and control
Optimization
Resilient Control Systems
Robotics
Smart grids
Social networks
Stochastic systems
Systems Biology
SPECIAL SECTION on the Intersection of Machine Learning with Control
- 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
SUBMISSION GUIDELINES:
All manuscripts should be prepared in accordance with the IEEE Author Guidelines and submitted through https://css.paperplaza.net/. More information on submissions, including accepted article types, can be found in the Author Resources. Submission site opening by October 15, 2021.
DISCOUNTS
- Special Offer: APCs waived for the first 20 accepted papers!
- IEEE Members receive a 5% discount.
- IEEE Control Systems Society Members receive a 20% discount.
*These discounts cannot be combined.
EDITOR-IN-CHIEF
Prof. Sonia Martínez, Dr. PhD
Jacobs Faculty Scholar
Department of Mechanical and Aerospace Engineering
University of California, San Diego
Mailing Address:
Office: EBU-I, 1807
Mechanical and Aerospace Engineering Dept.
University of California, San Diego
9500 Gilman Dr.
La Jolla, CA 92093-0411
Phone: +1 (858) 822-4243
Email: soniamd@ucsd.edu