Buch, Englisch, 524 Seiten, Format (B × H): 178 mm x 254 mm
An Integrated Approach
Buch, Englisch, 524 Seiten, Format (B × H): 178 mm x 254 mm
ISBN: 978-1-041-00425-7
Verlag: Taylor & Francis Ltd
Nonlinear Control of Robots and Unmanned Aerial Vehicles: An Integrated Approach, Second Edition focuses on the design of nonlinear, automatic and autonomous controllers for robots including drones and unmanned aerial vehicles. It presents control and regulation methods that rely on techniques related to the methods of feedback linearization.
The Second Edition features new content on autonomous control and guidance of robotic systems and UAVs, including the incorporation of machine and reinforcement learning techniques into the design of flight controllers. It discusses the development of a systematic adaptive backstepping design of nonlinear control laws for systems with unknown constant parameters. Numerous practical application examples and exercises are included to facilitate readers’ understanding of nonlinear control system design for robotic systems and UAVs.
This book is intended for aerospace, electrical and mechanical engineers working with robotic systems and designing unmanned aerial vehicles.
Zielgruppe
Postgraduate and Professional Reference
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Verkehrstechnik | Transportgewerbe Luft- und Raumfahrttechnik, Luftverkehr
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken
Weitere Infos & Material
1. Lagrangian Methods and Robot Dynamics 2. Unmanned Aerial Vehicle Dynamics and Lagrangian Methods 3. Feedback Linearization 4. Linear and Phase Plane Analysis of Stability 5. Robot and UAV Control: An Overview 6. Stability 7. Lyapunov Stability 8. Computed Torque Control 9. Sliding Mode Control 10. Parameter Identification 11. Adaptive and Model Predictive Control 12. Lyapunov Design: The Backstepping Approach 13. Hybrid Position and Force Control 14. Autonomous Control of UAVs and Robots




