Detailed Proofs of Alternating Minimization Based Trajectory Generation for Quadrotor Aggressive Flight
This work addresses the problem of ensuring theoretical guarantees for trajectory optimization in aggressive quadrotor flight, but it is incremental as it builds on existing methods without introducing new paradigms.
The paper provides a detailed theoretical analysis of an alternating minimization algorithm for trajectory generation in quadrotor aggressive flight, focusing on assumptions for meaningful objective function settings and analyzing the global/local convergence rates of the algorithm.
This technical report provides detailed theoretical analysis of the algorithm used in \textit{Alternating Minimization Based Trajectory Generation for Quadrotor Aggressive Flight}. An assumption is provided to ensure that settings for the objective function are meaningful. What's more, we explore the structure of the optimization problem and analyze the global/local convergence rate of the employed algorithm.