Distributed Control, Optimization, and Game of UAV Swarm Systems

A special issue of Drones (ISSN 2504-446X).

Deadline for manuscript submissions: closed (25 July 2024) | Viewed by 7458

Special Issue Editors


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Guest Editor
Institute of Artificial Intelligence, Beihang University, Beijing 100191, China
Interests: distributed control; formation control; Intelligent control

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Guest Editor
School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
Interests: cooperative guidance; flight control

E-Mail Website
Guest Editor
Institute of Artificial Intelligence, Beihang University, Beijing 100191, China
Interests: distributed optimization; networked game; cooperative control

Special Issue Information

Dear Colleagues,

UAV swarm systems can also be named as multi-UAV systems consisting of multiple UAVs with neighboring interactions, and have broad potential applications in various areas, such as intelligent transportation, disaster rescue, and cooperative detection. Distributed control, optimization, and game of UAV swarm systems has been a hot research topic in many scientific communities, especially the control and robotics communities. How to design the controller or protocol using only neighboring relative information is the main challenge. Distributed control, optimization, and game of UAV swarm systems is promising due to that the emerging behavior has the features of low cost, high scalability and flexibility, great robustness, and easy maintenance. Motivated by the facts stated above, more and more researchers are devoting themselves to obtain sound results on this topic.

The goal of this Special Issue is to collect papers (original research articles and review papers) to give insights about distributed control, optimization, and game of UAV swarm systems. The journal and the special issue does not consider the publication of manuscripts related to military operations/applications or that have any explicit reference to military organization.

This Special Issue will welcome manuscripts that link the following themes:

  • Distributed control
  • Formation control
  • Distributed optimization
  • Intelligent motion planning
  • Game of UAV swarm systems
  • Distributed Nash equilibrium seeking

We look forward to receiving your original research articles and reviews.

Dr. Yongzhao Hua
Dr. Jianglong Yu
Dr. Chao Sun
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Drones is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • UAV swarm systems
  • distributed control
  • formation control
  • distributed optimization
  • intelligent motion planning
  • swarm game
  • distributed nash equilibrium seeking

Published Papers (7 papers)

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