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Titlebook: Control of Autonomous Aerial Vehicles; Advances in Autopilo Andrea L‘Afflitto,Gokhan Inalhan,Hyo-Sang Shin Book 2024 The Editor(s) (if appl

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VOB/A 2019 - Textausgabe/Text Editiong the state derivative and control input measurements. A closed-loop analysis with IBKS is conducted for three different cases. In the first test case, which involves model uncertainties and ideal measurements, unlike BKS, the closed-loop stability and performance of IBKS are not affected if the con
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https://doi.org/10.1007/978-3-658-29460-1tonomy in complex, dynamic environments. In this chapter, we briefly outline some key aspects of the state of UAV technology. Successively, by providing the outline of this book, we explain in what directions research has been steered to address key shortcomings of UAVs for civilian applications.
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VOB/B 2019 - Textausgabe/Text Editionhis part includes the mathematical background and theoretical derivation with insights into the relative stability proofs. Simulations in a highly realistic environment endowed with a physics engine and real experiments validate both the proposed approaches.
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1430-9491 design including for urban air mobility.Careful organization.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”, emplo
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https://doi.org/10.1007/978-3-658-29460-1he prediction of the trajectory of a nonlinear system over a receding time horizon from the current time and the generation of the control input sequences by solving the given optimal control problem. Numerical simulation demonstrates the effectiveness of the NMPC-based guidance algorithm compared with other benchmark guidance schemes.
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Nonlinear Model Predictive Controller-Based Line Tracking Guidance,he prediction of the trajectory of a nonlinear system over a receding time horizon from the current time and the generation of the control input sequences by solving the given optimal control problem. Numerical simulation demonstrates the effectiveness of the NMPC-based guidance algorithm compared with other benchmark guidance schemes.
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https://doi.org/10.1007/978-3-658-29622-3vement over the legacy proportional-integral-derivative (PID) controller is shown in outdoor flight tests. Circle and lemniscate-shaped trajectories are tracked with a maximum speed of 15 m/s. The attitude hold and tracking performance are evaluated with a maximum speed of 30 m/s.
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