Aim & Scope
The IEEE Open Journal of Control Systems covers the theory, design, optimization, and applications of dynamic systems and control. 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.
Get Published in the new IEEE Open Journal of Control Systems
Submit a paper to the premier open-access journal in control systems!
We invite you to be among the first to have your article peer-reviewed and published in this new journal. This is an exciting opportunity for your research to benefit from the high visibility and interest the journal’s marketing launch will generate. Your work will also be exposed to 5 million unique monthly users of the IEEE Xplore® Digital Library.
The IEEE Open Journal of Control Systems (OJ-CSYS) will draw on the expert technical community to continue IEEE’s commitment to publishing the most highly cited content. The editor-in-chief is the distinguished Prof. Sonia Martínez. Our goal is to publish quickly. Publication of accepted papers on IEEE Xplore is no more than 24 weeks after initial submission. Read more information here. This journal is fully open and compliant with funder mandates, including Plan S.
The IEEE Open Journal of Control Systems is a new publication of the IEEE Control Systems Society. The journal aims to publish high-quality papers on the theory, design, optimization, and applications of dynamic systems and control.
The Editorial Board demonstrates the breadth of areas covered within the journal.
The journal’s main mission is the promotion of 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.
Special Sections
Special Sections and issues covering the state-of-the-art trending topics will be open soon.
> Intersection of Machine Learning with Control
Go to Special Sections for more information.
Editor-in-Chief
Sonia Martínez
University of California,
San Diego
United States
Website
ORCID