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008			231120s2024 sz | fo |||| 0|eng d
020			_a9783031397677
024	7		_a10.1007/978-3-031-39767-7 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTL589.4 _b2024 EB
245	0	0	_aControl of Autonomous Aerial Vehicles : _bAdvances in Autopilot Design for Civilian UAVs _cedited by Andrea L'Afflitto, Gokhan Inalhan, Hyo-Sang Shin
250			_a1st ed. 2024.
264		1	_aCham _bSpringer International Publishing _c2024
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aAdvances in Industrial Control _x2193-1577
505	0		_a1. 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.
520			_aControl 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.
988			_aSpringer_Engineering_2024
650		7	_2embne _9191407 _aAviones _xSistemas de control
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-39767-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b06/2024 _dz _ean _zSI