Special Section on Intersection of Machine Learning with Control
Editor: Insoon Yang
Seoul National University
South Korea
https://lds-insoon.github.io
insoonyang@snu.ac.kr
Submission Window: 30 Sept 2025 – 15 May 2026
Harnessing the power of machine learning to continuously monitor anomalies and extract useful information advances the state of the art in instrumentation control. Learning-enabled systems have been rapidly increasing in size and acquiring new capabilities. These systems are increasingly deployed in complex operating environments, where safety is paramount. Ensuring safety requires both robustness to extreme events and reliable monitoring for anomalous or unsafe behavior. While traditional machine learning systems are typically evaluated pointwise with respect to a fixed test set, such static coverage provides only limited assurance when exposed to unprecedented conditions in real-world environments. This limitation highlights a pressing challenge: “How can we design and deploy learning-enabled systems that remain robust to extreme events while monitoring them for anomalous and unsafe behavior?” This special issue aims to contribute to this growing area of interest and thus calls for papers in this topical area.
Topics of interest for this special issue include and are not limited to:
> Machine learning for dimensionality reduction and system identification
> Emerging theory and 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
Special Section Schedule:
> Special Section Submission Window: 30 September 2025 – 14 May 2026
> Notification of reviews of and recommendations: 10 weeks after initial submission
> Final notification of regular papers: 20 weeks after initial submission
> Manuscript publication on IEEE Xplore: 24 weeks after initial submission
Submission Site: https://css.paperplaza.net/journals/ojcs/scripts/login.pl
Length: 10-15 pages, not including references. Justification of longer papers is required.
Discounts: A number of discounts on APCs are expected to be available for papers published in this special section; see the website or inquire with the editorial assistant for more updated information.
Guest Senior Editor
Name: Insoon Yang
Affiliation: Seoul National University, South Korea
Guest Associate Editors
Name: Thomas Beckers
Affiliation: Vanderbilt University, United States
Name: Riccardo Bonalli
Affiliation: Université Paris-Saclay, France
Name: Thinh Doan
Affiliation: University of Texas at Austin, United States
Name: Ashish Hota
Affiliation: Indian Institute of Technology Kharagpur, India
Name: Bin Hu
Affiliation: University of Illinois Urbana-Champaign, United States
Name: Andrea Iannelli
Affiliation: University of Stuttgart, Germany
Name: Abolfazl Lavaei
Affiliation: Newcastle University, United Kingdom
Name: Mircea Lazar
Affiliation: Eindhoven University of Technology, Netherlands
Name: Lars Lindemann
Affiliation: ETH Zurich, Switzerland
Name: Kostas Margellos
Affiliation: University of Oxford, United Kingdom
Name: Romain Postoyan
Affiliation: CNRS, CRAN, Université de Lorraine, France
Name: Stephen Tu
Affiliation: University of Southern California, United States