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Proceedings of the IUTAM Symposium on Optimal Guidance and Control for Autonomous Systems 2023

  • Conference proceedings
  • © 2024

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)

  1. Guidance, Navigation and Control, and Sensor Technologies

  2. Robotic Technologies

  3. Optimal Control and Applications

Other volumes

  1. 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

  • Mechanical Engg, Holmes 302, University of Hawaii at Manoa, Honolulu, USA

    Dilmurat Azimov

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

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