@inbook{add604160a3c401d9509146f99367914,
title = "Energy-Optimal Waypoint-Following Guidance Law Considering Autopilot Dynamics",
abstract = "This chapter addresses the problem of energy-optimal waypoint-following guidance for a UAV with the consideration of a general autopilot dynamics model. The proposed guidance law is derived as a solution of a linear quadratic optimal control problem in conjunction with a linearized kinematics model. The algorithm developed integrates path planning and following into a single step and is able to be applied to a general waypoint-following mission. Theoretical analysis reveals that previously suggested optimal point-to-point guidance laws are special cases of the proposed approach. Nonlinear numerical simulations clearly demonstrate the effectiveness of the proposed formulations.",
author = "Shaoming He and Lee, \{Chang Hun\} and Shin, \{Hyo Sang\} and Antonios Tsourdos",
note = "Publisher Copyright: {\textcopyright} 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.",
year = "2020",
doi = "10.1007/978-3-030-47348-8\_9",
language = "English",
series = "Springer Aerospace Technology",
publisher = "Springer Nature",
pages = "175--198",
booktitle = "Springer Aerospace Technology",
address = "Switzerland",
}