Overview
- Discusses analytical techniques for systems engineering applications
- Formulates and analyzes general problems corresponding to different stages of system design, implementation, testing and monitoring
- Uses examples to demonstrate how the corresponding analytical techniques can be applied in various domains
- Presents applications ranging from biological and biomedical systems (from cows to humans) and social systems (such as recommender systems), to physical systems (for which a new system-based explanation of the minimum entropy principle is provided), and engineering systems
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 286)
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About this book
This book is intended for specialists in systems engineering interested in new, general techniques and for students and practitioners interested in using these techniques for solving specific practical problems. For many real-world, complex systems, it is possible to create easy-to-compute explicit analytical models instead of time-consuming computer simulations. Usually, however, analytical models are designed on a case-by-case basis, and there is a scarcity of general techniques for designing such easy-to-compute models. This book fills this gap by providing general recommendations for using analytical techniques in all stages of system design, implementation, testing, and monitoring. It also illustrates these recommendations using applications in various domains, such as more traditional engineering systems, biological systems (e.g., systems for cattle management), and medical and social-related systems (e.g., recommender systems).
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Table of contents (18 chapters)
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Front Matter
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Back Matter
Authors and Affiliations
Bibliographic Information
Book Title: Towards Analytical Techniques for Systems Engineering Applications
Authors: Griselda Acosta, Eric Smith, Vladik Kreinovich
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-030-46413-4
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-46412-7Published: 07 May 2020
Softcover ISBN: 978-3-030-46415-8Published: 07 May 2021
eBook ISBN: 978-3-030-46413-4Published: 06 May 2020
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: X, 101
Number of Illustrations: 1 b/w illustrations
Topics: Control and Systems Theory, Complexity, Data Engineering