With the extraordinary growth of Unmanned Aerial Vehicles (UAV) in
research, military, and commercial contexts, there has been a need
for a reference that provides a comprehensive look at the latest
research in the area. Filling this void, Smart Autonomous Aircraft:
Flight Control and Planning for UAV introduces the advanced methods
of flight control, planning, situation awareness, and decision
making. This book is among the first to emphasize the theoretic and
algorithmic side of control and planning in dynamic and uncertain
environments. Focused on the latest theory that informs flight
planning and control, it describes the use of computational
intelligence modeling, control, and planning. Providing background
information on fixed-wing unmanned aerial vehicles, the book
proceeds from the basics to advanced methods, from classical to the
most innovative. It examines the current state of the art and
covers the topics required to assess the autonomy of UAVs. An ideal
resource for researchers and practitioners working on solutions for
implementing advanced capabilities in UAVs, the book details the
mathematical underpinnings of each concept and includes
illustrative case studies to reinforce understanding. Providing an
interdisciplinary point of view on autonomous aircraft, the book
reviews the different methodologies of control and planning used to
create smart autonomous aircraft. The topics covered in this book
have been derived from the author's research and teaching duties in
smart aerospace and autonomous systems and from literature survey.
Assuming an understanding of engineering at the undergraduate
level, this book is suitable for advanced-level graduate students
and PhD students enrolled in UAV or aerial robotics courses.
General
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