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Proceedings of the IUTAM Symposium on Optimal Guidance and Control for Autonomous Systems 2023 / edited by Dilmurat Azimov

Series: (IUTAM Bookseries, 1875-3493; 40).Publisher: Cham : Springer International Publishing, 2024Edition: 1st ed. 2024.Description: 1 recurso en línea.ISBN: 9783031393037.Online resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Guidance, Navigation and Control, and Sensor Technologies -- Robotic Technologies -- Stochastic Systems and Game Theory -- Optimal Control and Applications -- Modeling and Data Analytics -- Nonlinear Control Systems and Machine Learning.
Summary: 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.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería TA1001-1280 HE331-380 2024 EB 2024 EB (Browse shelf(Opens below)) Acceso electrónico ebook10042363
Total holds: 0

Guidance, Navigation and Control, and Sensor Technologies -- Robotic Technologies -- Stochastic Systems and Game Theory -- Optimal Control and Applications -- Modeling and Data Analytics -- Nonlinear Control Systems and Machine Learning.

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.

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