Proceedings of the IUTAM Symposium on Optimal Guidance and Control for Autonomous Systems 2023
Proceedings of the IUTAM Symposium on Optimal Guidance and Control for Autonomous Systems 2023 [electronic resource] /
edited by Dilmurat Azimov.
- 1st ed. 2024.
- VII, 413 p. 170 illus., 119 illus. in color. online resource.
- IUTAM Bookseries, 40 1875-3493 ; .
- IUTAM Bookseries, 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.
9783031393037
Transportation engineering.
Traffic engineering.
Machine learning.
Continuum mechanics.
Transportation Technology and Traffic Engineering.
Machine Learning.
Continuum Mechanics.
TA1001-1280 HE331-380
629.04
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.
9783031393037
Transportation engineering.
Traffic engineering.
Machine learning.
Continuum mechanics.
Transportation Technology and Traffic Engineering.
Machine Learning.
Continuum Mechanics.
TA1001-1280 HE331-380
629.04
