03103nam a22005655i 4500 978-3-031-39303-7 DE-He213 20251030110915.0 cr nn 008mamaa 240105s2024 sz | s |||| 0|eng d 9783031393037 978-3-031-39303-7 10.1007/978-3-031-39303-7 doi TA1001-1280 HE331-380 TNH bicssc TEC009140 bisacsh TNH thema Proceedings of the IUTAM Symposium on Optimal Guidance and Control for Autonomous Systems 2023 [electronic resource] / edited by Dilmurat Azimov. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. VII, 413 p. 170 illus., 119 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda IUTAM Bookseries, 1875-3493 ; 40 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. Transportation engineering. 65686 Traffic engineering. 65687 Machine learning. 55059 Continuum mechanics. Transportation Technology and Traffic Engineering. 65691 Machine Learning. 55059 Continuum Mechanics. Azimov, Dilmurat. editor. edt http://id.loc.gov/vocabulary/relators/edt 69278 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031393020 Printed edition: 9783031393044 Printed edition: 9783031393051 IUTAM Bookseries, 1875-3493 ; 40 67476 https://doi.org/10.1007/978-3-031-39303-7 ZDB-2-ENG ZDB-2-SXE 57105 57105