Advances in Unmanned Aerial Vehicles : State of the Art and the Road to Autonomy / edited by Kimon P. Valavanis.

Springer eBooks

Background Information -- A Historical Perspective on Unmanned Aerial Vehicles -- Modeling and Control Fundamentals -- Airplane Basic Equations of Motion and Open-Loop Dynamics -- Control Fundamentals of Small / Miniature Helicopters - A Survey -- A Tutorial Approach to Small Unmanned Helicopter Controller Design for Non-aggressive Flights -- Design and Control of a Miniature Quadrotor -- Navigation Aspects -- Obstacle and Terrain Avoidance for Miniature Aerial Vehicles -- Vision Based Navigation and Target Tracking for Unmanned Aerial Vehicles -- Single and Multi-UAV Relative Position Estimation Based on Natural Landmarks -- Evolutionary Algorithm Based Path Planning for Multiple UAV Cooperation -- Applications -- Robust Nonlinear Observers for Attitude Estimation of Mini UAVs -- Autonomous Solar UAV for Sustainable Flights -- The Integration of a Multimodal MAV and Biomimetic Sensing for Autonomous Flights in Near-Earth Environments -- Dynamic Localization of Air-Ground Wireless Sensor Networks -- Decentralized Formation Tracking of Multi-Vehicle Systems with Consensus-Based Controllers -- “Hardware in the Loop” Tuning for a Volcanic Gas Sampling UAV -- A Modular On-board Processing System for Small Unmanned Vehicles -- Epilogue -- Conclusions and the Road Ahead.

There has been tremendous emphasis in unmanned aerial vehicles, both of fixed (airplanes) and rotary wing (vertical take off and landing, helicopters) types over the past ten years. Applications span both civilian and military domains, the latter being the most important at this stage. This edited book provides a solid and diversified reference source related to basic, applied research and development on small and miniature unmanned aerial vehicles, both fixed and rotary wing. As such, the book offers background information on the evolution of such vehicles over the years, followed by modeling and control fundamentals that are of paramount importance due to unmanned aerial vehicle model complexity, nonlinearity, coupling, inhirent instability and parameter values uncertainty. Aspects of navigation, including visual-based navigation and target tracking are discussed, followed by applications to attitude estimation on micro unmanned aerial vehicles, autonomous solar unmanned aerial vehicle, biomimetic sensing for autonomous flights in near-earth environments, localization of air-ground wireless sensor networks, decentralized formation tracking, design of an unmanned aerial vehicle for volcanic gas sampling and design of an on-board processing controller for miniature helicopters.

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