Açıkmeşe, BehçetKamath, Abhinav Girish2026-02-052026-02-052026-02-052025Kamath_washington_0250E_29127.pdfhttps://hdl.handle.net/1773/55127Thesis (Ph.D.)--University of Washington, 2025Autonomous systems of today rely on trajectory planning to achieve complex tasks. With the increasing capabilities of such systems, there is a need for a framework that not only allows for accurate modeling of these tasks, but also enables real-time generation of feasible trajectories to achieve them. This dissertation presents trajectory generation methods, using gradient-based optimization and set-based dynamic programming, for a large class of optimal, robust, and resilient control problems. These methods are intended for adoption onboard agile autonomous systems—such as reusable rockets—that mandate high-performance guidance & control.application/pdfen-USnoneAerospace engineeringAeronautics and astronauticsThesis