Advances in Autonomous Vehicles Dynamics and Control
A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Vehicle Engineering".
Deadline for manuscript submissions: 28 February 2025 | Viewed by 12006
Special Issue Editors
Interests: nonlinear and adaptive control for intelligent vehicles and mobile robots; distributed control for multi-agent system; unmanned and manned lunar exploration rover
Special Issues, Collections and Topics in MDPI journals
Interests: intelligent control; dynamics and control; mechanism and machine theory; autonomous system; fault tolerant control; artificial intelligence with engineering applications; machine learning methods; signal processing; intelligent transportation; system modeling and identification
Special Issues, Collections and Topics in MDPI journals
Interests: distributed control; robotic path planning; multi-agent systems; distributed learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Autonomous vehicles present a promising solution to many of the challenges faced by the transportation industry, including reducing the number of accidents caused by human error, improving traffic flow, and increasing fuel efficiency. However, to fully realize the potential of this technology, significant technical challenges must be overcome. One of the key challenges is the development of robust and reliable control algorithms that can ensure the safe and smooth operation of autonomous vehicles in a wide range of driving scenarios, including complex urban and highway environments. Furthermore, the highly complex non-linear vehicle dynamics bring significant difficulties in the development of control systems.
This Special Issue seeks to bring together the latest research and developments in the field of autonomous vehicle dynamics and control. We invite submissions that address a broad range of topics related to this field, including advanced control system designs, dynamics modeling and simulation, and machine learning approaches. Specifically, topics of interest include, but are not limited to, the following:
- Dynamics modeling and real-world implementation of autonomous vehicle control systems;
- Energy-efficient control and optimization for autonomous vehicles;
- Advanced control system designs for precise control and maneuvering of autonomous vehicles in complex driving scenarios;
- Data-driven approaches to vehicle dynamics modeling and simulation;
- Cooperative and coordinated control of multiple autonomous vehicles;
- Applications of autonomous vehicles in transportation, warehouses, construction, manufacturing and space exploration, etc.
Dr. Zhongchao Liang
Dr. Jing Zhao
Dr. Zhongguo Li
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. Machines 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 2400 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
- autonomous vehicles
- advanced non-linear control
- dynamics modeling
- machine learning
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