04513nam a22006135i 4500 978-3-031-39767-7 DE-He213 20251030110835.0 cr nn 008mamaa 231120s2024 sz | s |||| 0|eng d 9783031397677 978-3-031-39767-7 10.1007/978-3-031-39767-7 doi TL1-4050 TRP bicssc TTDS bicssc TEC002000 bisacsh TRP thema TTDS thema Control of Autonomous Aerial Vehicles [electronic resource] : Advances in Autopilot Design for Civilian UAVs / edited by Andrea L'Afflitto, Gokhan Inalhan, Hyo-Sang Shin. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XVIII, 353 p. 128 illus., 91 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Advances in Industrial Control, 2193-1577 1. Introduction -- 2. Nonlinear Model Predictive Controller-Based Line Tracking Guidance -- 3. Autonomous Multi-rotor Unmanned Aerial Vehicles and Tactical Coverage -- 4. An Improved Differential Dynamic Programming Approach for Computational Guidance -- 5. A Unified Hybrid Control Approach to Maximum Endurance of Aircraft -- 6. Information-Theoretic Autonomous Source Search and Estimation of Mobile Sensors.-Safety-Constrained Resilient Estimation and Path Planning for UAVs in GPS-Denied Environments -- 7. Incremental Nonlinear Dynamic Inversion-Based Trajectory-Tracking Controller for an Agile Quadrotor: Design, Analysis and Results from Flight Tests -- 8. Incremental Control to Reduce Model Dependency of Classical Nonlinear Control -- 9. Adaptive Dynamic Programming for Flight Control -- 10. A Distributed Adaptive Control Approach Cooperative Output Regulation Regulation for a Class of Heterogeneous Uncertain Multi-agent Systems -- 11. Aerial Manipulator Interaction with the Environment. Control of Autonomous Aerial Vehicles is an edited book that provides a single-volume snapshot on the state of the art in the field of control theory applied to the design of autonomous unmanned aerial vehicles (UAVs), aka “drones”, employed in a variety of applications. The homogeneous structure allows the reader to transition seamlessly through results in guidance, navigation, and control of UAVs, according to the canonical classification of the main components of a UAV’s autopilot. Each chapter has been written to assist graduate students and practitioners in the fields of aerospace engineering and control theory. The contributing authors duly present detailed literature reviews, conveying their arguments in a systematic way with the help of diagrams, plots, and algorithms. They showcase the applicability of their results by means of flight tests and numerical simulations, the results of which are discussed in detail. Control of Autonomous Aerial Vehicles will interest readers who are researchers, practitioners or graduate students in control theory, autonomous systems or robotics, or in aerospace, mechanical or electrical engineering. Aerospace engineering. 66335 Astronautics. 66336 Control engineering. Robotics. 59148 Automation. 59149 Aerospace Technology and Astronautics. 66339 Control and Systems Theory. 65868 Control, Robotics, Automation. L'Afflitto, Andrea. editor. edt http://id.loc.gov/vocabulary/relators/edt 67352 Inalhan, Gokhan. editor. edt http://id.loc.gov/vocabulary/relators/edt 67353 Shin, Hyo-Sang. editor. edt http://id.loc.gov/vocabulary/relators/edt 67354 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031397660 Printed edition: 9783031397684 Printed edition: 9783031397691 Advances in Industrial Control, 2193-1577 14359 https://doi.org/10.1007/978-3-031-39767-7 ZDB-2-ENG ZDB-2-SXE 56585 56585