Overview
- Provides a valuable resource for engineers working on optimal guidance and control systems, as well as graduate students majoring in aerospace engineering
- Presents numerical simulations that clearly demonstrate the effectiveness of the proposed formulation and validate the analytic findings
- Paves the way for future research in the domain of aerospace guidance
Part of the book series: Springer Aerospace Technology (SAT)
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Table of contents (10 chapters)
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Front Matter
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Optimal Guidance in Missile Applications
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Front Matter
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Optimal Guidance in UAV Applications
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Front Matter
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Keywords
About this book
This book presents a comprehensive overview of the recent advances in the domain of optimal guidance, exploring the characteristics of various optimal guidance algorithms and their pros and cons. Optimal guidance is based on the concept of trajectory optimization, which minimizes the meaningful performance index while satisfying certain terminal constraints, and by properly designing the cost function the guidance command can serve as a desired pattern for a variety of mission objectives. The book allows readers to gain a deeper understanding of how optimal guidance law can be utilized to achieve different mission objectives for missiles and UAVs, and also explores the physical meaning and working principle of different new optimal guidance laws. In practice, this information is important in ensuring confidence in the performance and reliability of the guidance law when implementing it in a real-world system, especially in aerospace engineering where reliability is the first priority.
Authors and Affiliations
Bibliographic Information
Book Title: Optimal Guidance and Its Applications in Missiles and UAVs
Authors: Shaoming He, Chang-Hun Lee, Hyo-Sang Shin, Antonios Tsourdos
Series Title: Springer Aerospace Technology
DOI: https://doi.org/10.1007/978-3-030-47348-8
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-47347-1Published: 14 May 2020
Softcover ISBN: 978-3-030-47350-1Published: 14 May 2021
eBook ISBN: 978-3-030-47348-8Published: 13 May 2020
Series ISSN: 1869-1730
Series E-ISSN: 1869-1749
Edition Number: 1
Number of Pages: XIII, 214
Number of Illustrations: 2 b/w illustrations, 47 illustrations in colour
Topics: Aerospace Technology and Astronautics, Control, Robotics, Mechatronics, Computational Intelligence