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Control of autonomous aerial vehicles = advances in autopilot design for civilian UAVs /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Control of autonomous aerial vehicles/ edited by Andrea L'Afflitto, Gokhan Inalhan, Hyo-Sang Shin.
Reminder of title:	advances in autopilot design for civilian UAVs /
other author:	L'Afflitto, Andrea.
Published:	Cham :Springer Nature Switzerland : : 2024.,
Description:	xviii, 353 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Drone aircraft - Control systems. -
Online resource:	https://doi.org/10.1007/978-3-031-39767-7
ISBN:	9783031397677

Control of autonomous aerial vehicles = advances in autopilot design for civilian UAVs /
Control of autonomous aerial vehiclesadvances in autopilot design for civilian UAVs /[electronic resource] :edited by Andrea L'Afflitto, Gokhan Inalhan, Hyo-Sang Shin. - Cham :Springer Nature Switzerland :2024. - xviii, 353 p. :ill. (some col.), digital ;24 cm. - Advances in industrial control,2193-1577. - Advances in industrial control..

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.

ISBN: 9783031397677

Standard No.: 10.1007/978-3-031-39767-7doiSubjects--Topical Terms:

896751
Drone aircraft
--Control systems.

LC Class. No.: TL589.4

Dewey Class. No.: 629.1326

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505 0 $a 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.
520 $a 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.
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