Special Issue "Space Systems Preliminary Design"
Deadline for manuscript submissions: 28 February 2024 | Viewed by 171
Interests: complex systems; (model-based) systems engineering; systems architecture; knowledge representation; artificial intelligence; real-time systems; concurrent design engineering; multi-agent systems; autonomous decision making; distributed systems
Interests: complex systems; systems engineering; design engineering; concurrent engineering; knowledge representation and reasoning; cybersecurity; risk and obsolescence management
The preliminary design of space systems is known to involve an interdisciplinary team that work concurrently and play a vital role in the further development of space systems, by facilitating a design workflow for either flight or ground segments. The whole life cycle includes design decisions that may affect training, operations resource management, human factors, safety, habitability and environment, and maintainability and supportability. Practitioners would benefit from optimizing space system preliminary designs, but they face challenges in terms of technology, costs, and socio-organizational approaches.
This Special Issue seeks original contributions that discuss space system preliminary designs, methodologies, and/or tooling that could allow analytical verification, time savings, reduced errors in sizing, better cost prediction, and a better compliance to mission requirements for space missions or systems. Topics of interest include but are not limited to:
- Space system preliminary design, conceptual design, concurrent design;
- Space systems and subsystems (e.g., satellite systems);
- Space system modeling and analysis;
- (Model-based) space system engineering;
- Space system architecture;
- Design methods and tools;
- Design knowledge reuse;
- Preliminary design data integration and management;
- Multi-disciplinary optimization;
- Artificial intelligence for design;
- Decision-support tools;
- Human–system interfaces;
- Methodologies to ease hand-over from preliminary design to next design stages, involving other teams;
- Knowledge reuse from preliminary design to operations;
- Change management;
- Database management;
- Data sharing;
- Data representation/conversion/translation;
High-quality papers based on theories, applications, or experimental data related to space system preliminary design are welcome.
Prof. Dr. Rob A. Vingerhoeds
Dr. Sophia Salas Cordero
Dr. Thibault Gateau
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. Aerospace 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.
- preliminary design
- conceptual design, concurrent design, space systems
- (model-based) systems engineering, systems architecture, modeling
- multi-disciplinary optimization
- artificial intelligence