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

纖細(xì)

幻想

VOB/B 2019 - Textausgabe/Text Editiontwo problems is achieved by a new decoupling virtual tracking error (that is, information exchange between agents). A numerical example demonstrates an application of the proposed approach to a heterogeneous multi-vehicle system consisting of unmanned aerial and ground vehicles in formation.

elastic

寬度

Incremental Nonlinear Dynamic Inversion-Based Trajectory Tracking Controller for an Agile Quadrotorvement 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.

MUMP

Adaptive Dynamic Programming for Flight Control, of a type that is not anticipated during the control design. This chapter first gives a brief historical overview of ADP applications to flight control tasks. After that, four recent advances of ADP for flight control are presented.

Cerumen

A Distributed Adaptive Control Approach to Cooperative Output Regulation of a Class of Heterogeneoutwo problems is achieved by a new decoupling virtual tracking error (that is, information exchange between agents). A numerical example demonstrates an application of the proposed approach to a heterogeneous multi-vehicle system consisting of unmanned aerial and ground vehicles in formation.

左右連貫

Introduction,tonomy 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.

cinder

規(guī)范就好

Introduction,such as collecting images and videos, these vehicles are not yet employed in more complex tasks as it would have been envisioned a decade ago. The reasons for this state-of-the-art are numerous, and mostly to be sought in the need for advanced guidance, navigation, and control systems that enable au

SOW

Nonlinear Model Predictive Controller-Based Line Tracking Guidance, The guidance problem is formulated in the nonlinear model predictive control (NMPC) framework with a nonlinear discrete-time kinematics model. The derived error dynamics with respect to the flight path are solved by numerical optimization minimizing the associated performance index in conjunction w