Data Guided Estimation And Tracking Methods For Unmanned Aerial Vehicles
Download Data Guided Estimation And Tracking Methods For Unmanned Aerial Vehicles PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Data Guided Estimation And Tracking Methods For Unmanned Aerial Vehicles book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Data-guided Estimation and Tracking Methods for Unmanned Aerial Vehicles
Autonomous aerial robots provide new possibilities to study interesting phenomena and offer a unique vantage point for many surveillance and tracking tasks. Tracking a rogue or an unknown target is an important task in which an agent typically adopts a reactive strategy to the changes reflected in the target observations. As these aerial vehicles increasingly share airspace with fixed wing commercial airplanes, it has become critical to establish reliable, high quality tracking strategies. This work seeks to leverage the concepts of modern control theory, statistics and reinforcement learning to enhance traditional tracking control design strategies to achieve improved tracking performance. A data-guided approach is proposed which shows that embedding observation data in to the control loop improves tracking performance for certain classes of target systems. A comparative study of model-based and model-free approaches for tracking is presented in which an agent, guided by vision-based sensors, directly learns an optimal policy to track the unknown reference trajectory. In addition, a distributed framework is developed in which multiple agents perform consensus on the learned parameters to improve tracking accuracy. Numerical simulations are presented to validate this data-guided tracking scheme for a single agent and a network of agents.
Theory, Design, and Applications of Unmanned Aerial Vehicles
This book provides a complete overview of the theory, design, and applications of unmanned aerial vehicles. It covers the basics, including definitions, attributes, manned vs. unmanned, design considerations, life cycle costs, architecture, components, air vehicle, payload, communications, data link, and ground control stations. Chapters cover types and civilian roles, sensors and characteristics, alternative power, communications and data links, conceptual design, human machine interface, sense and avoid systems, civil airspace issues and integration efforts, navigation, autonomous control, swarming, and future capabilities.
UAV‐Based Remote Sensing Volume 2
This book is a printed edition of the Special Issue "UAV-Based Remote Sensing" that was published in Sensors