Symmetry in Probablistic Models and Aerospace Systems
A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Engineering and Materials".
Deadline for manuscript submissions: closed (30 November 2023) | Viewed by 1868
Special Issue Editors
Interests: adaptive control; stochastic control; intelligent control; decision control; optimal filtering; Bayesian estimation; statistical learning; swarm intelligence; target tracking; task planning; aerospace systems; space operation; autonomous unmanned systems
Interests: machine learning; aerospace systems; autonomous unmanned systems; visual tracking; deep learning; pose estimation; object detection; information fusion; swarm intelligence; robotics
Special Issues, Collections and Topics in MDPI journals
Interests: information fusion; target tracking; aerospace systems
Interests: big data; recommender systems; environmental protection
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recently, probalistic models play a significant role in information sciences and aerospace operation technologies. To some extent, improving the intelligence of aerospace systems benefits from fast-developing probabilistic modeling approaches, including Bayesion estimation, statistical inference, data mining, machine learning, Gaussian process regression, random matrix, stochastic optimization, Monte Carlo simulation, etc., thus promoting technique emergence in aerospace science and engineering.
This Special Issue is devoted to recent advances in probablistic models related to the analysis and use of symmetries in multidisplinary areas of aerospace systems. The Special Issue aims to provide a way for people studying in mathematics, information science, system engineering, or other related fields to disseminate their findings about symmetries. Papers on topics of interest, including but not limited to the listed keywords, are solicited.
Dr. Yuankai Li
Dr. Yong Wang
Dr. Kai Shen
Prof. Dr. Di Wu
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. Symmetry 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
- symmetry
- bayes filters
- statistical learning
- intelligent computing
- stochastic signal processing
- optimization and robustness
- recognition and tracking
- information fusion
- guidance, navigation, and control
- trajectory planning
- swarm intelligence
- robotics