Overview
- Presents the highlights of the IUTAM Symposium on Optimal Guidance and Control for Autonomous Systems 2023
- Provides insights into the field of optimal guidance and control for autonomous systems
- Covers a wide range of applications, from robotics to sensor fusion and machine learning
Part of the book series: IUTAM Bookseries (IUTAMBOOK, volume 40)
Included in the following conference series:
Conference proceedings info: IUTAM 2023.
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Table of contents (25 papers)
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Guidance, Navigation and Control, and Sensor Technologies
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Robotic Technologies
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Stochastic Systems and Game Theory
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Optimal Control and Applications
Other volumes
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Proceedings of the IUTAM Symposium on Optimal Guidance and Control for Autonomous Systems 2023
Keywords
About this book
This book showcases a collection of papers that present cutting-edge studies, methods, experiments, and applications in various interdisciplinary fields. These fields encompass optimal control, guidance, navigation, game theory, stability, nonlinear dynamics, robotics, sensor fusion, machine learning, and autonomy. The chapters reveal novel studies and methods, providing fresh insights into the field of optimal guidance and control for autonomous systems. The book also covers a wide range of relevant applications, showcasing how optimal guidance and control techniques can be effectively applied in various domains, including mechanical and aerospace engineering. From robotics to sensor fusion and machine learning, the papers explore the practical implications of these techniques and methodologies.
Editors and Affiliations
Bibliographic Information
Book Title: Proceedings of the IUTAM Symposium on Optimal Guidance and Control for Autonomous Systems 2023
Editors: Dilmurat Azimov
Series Title: IUTAM Bookseries
DOI: https://doi.org/10.1007/978-3-031-39303-7
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 2024
Hardcover ISBN: 978-3-031-39302-0Published: 06 January 2024
Softcover ISBN: 978-3-031-39305-1Due: 06 February 2024
eBook ISBN: 978-3-031-39303-7Published: 05 January 2024
Series ISSN: 1875-3507
Series E-ISSN: 1875-3493
Edition Number: 1
Number of Pages: VII, 413
Number of Illustrations: 51 b/w illustrations, 119 illustrations in colour
Topics: Transportation Technology and Traffic Engineering, Machine Learning, Classical and Continuum Physics