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Frontiers in Control Engineering is a peer-reviewed journal published by Frontiers, covering Advanced Control Systems Optimization, Distributed Control Multi-Agent Systems, Fault Detection and Control Systems. Over its lifetime it has published 79 papers, which have received 404 citations.
| Publisher | Frontiers |
|---|---|
| Reference style | Author–year (Harvard) Author–year — (Smith, 2023) in the text Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', Frontiers in Control Engineering, 12(3), pp. 45–58.
Formats any DOI in Frontiers in Control Engineering style. No sign-up. |
| Publishes research in | Advanced Control Systems Optimization Distributed Control Multi-Agent Systems Fault Detection and Control Systems Adaptive Control of Nonlinear Systems Advanced Control Systems Design |
| ISSN | 2673-6268 |
| Citation impact (2-yr) | 1.56 |
| h-index | 10 |
| i10-index | 11 |
| Article processing charge | $1,900 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | Université de Bretagne Occidentale |
| Journal website | www.frontiersin.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
In this work, we study the problem of decentralized multi-agent perimeter defense that asks for computing actions for defenders with local perceptions and communications to maximize the capture of intruders. One major challenge for practical implementations is to make perimeter defense strategies scalable for large-scale problem instances. To this end, we leverage graph neural networks…
This paper reviews the recent works on multiplayer reach-avoid (M-RA) differential games between two adversarial teams in a game region which is split into a goal region and a play region. The pursuit team aims to protect the goal region from the evasion team by cooperatively capturing the evaders which start from the play region…
This review aims at assessing the opportunities and challenges of creating and using digital twins for process industrial systems over their life-cycle in the context of estimation and control. The scope is, therefore, to provide a survey on mechanisms to generate models for process industrial systems using machine learning (purely data-driven) and automated equation-based modeling.…
We present methods for autonomous collaborative surveying of volcanic CO 2 emissions using aerial robots. CO 2 is a useful predictor of volcanic eruptions and an influential greenhouse gas. However, current CO 2 mapping methods are hazardous and inefficient, as a result, only a small fraction of CO 2 emitting volcanoes have been surveyed. We…
A major goal in genomics is to properly capture the complex dynamical behaviors of gene regulatory networks (GRNs). This includes inferring the complex interactions between genes, which can be used for a wide range of genomics analyses, including diagnosis or prognosis of diseases and finding effective treatments for chronic diseases such as cancer. Boolean networks…
