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020 _a9783031397677
_9978-3-031-39767-7
024 7 _a10.1007/978-3-031-39767-7
_2doi
050 4 _aTL1-4050
072 7 _aTRP
_2bicssc
072 7 _aTTDS
_2bicssc
072 7 _aTEC002000
_2bisacsh
072 7 _aTRP
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072 7 _aTTDS
_2thema
245 1 0 _aControl of Autonomous Aerial Vehicles
_h[electronic resource] :
_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 Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXVIII, 353 p. 128 illus., 91 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _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.
650 0 _aAerospace engineering.
_966335
650 0 _aAstronautics.
_966336
650 0 _aControl engineering.
650 0 _aRobotics.
_959148
650 0 _aAutomation.
_959149
650 1 4 _aAerospace Technology and Astronautics.
_966339
650 2 4 _aControl and Systems Theory.
_965868
650 2 4 _aControl, Robotics, Automation.
700 1 _aL'Afflitto, Andrea.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_967352
700 1 _aInalhan, Gokhan.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_967353
700 1 _aShin, Hyo-Sang.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_967354
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031397660
776 0 8 _iPrinted edition:
_z9783031397684
776 0 8 _iPrinted edition:
_z9783031397691
830 0 _aAdvances in Industrial Control,
_x2193-1577
_914359
856 4 0 _uhttps://doi.org/10.1007/978-3-031-39767-7
912 _aZDB-2-ENG
912 _aZDB-2-SXE
999 _c56585
_d56585