5 citations · 6 across the 4 of their papers we have counts for
9 papers
Convex Optimization for Trajectory Generation
Danylo Malyuta, Taylor P. Reynolds, Michael Szmuk +4
Reliable and efficient trajectory generation methods are a fundamental need for autonomous dynamical systems of tomorrow. The goal of this article is to provide a comprehensive tut…
Fast Trajectory Optimization via Successive Convexification for Spacecraft Rendezvous with Integer Constraints
Danylo Malyuta, Taylor P. Reynolds, Michael Szmuk +2
In this paper we present a fast method based on successive convexification for generating fuel-optimized spacecraft rendezvous trajectories in the presence of mixed-integer constra…
Dual Quaternion Based Powered Descent Guidance with State-Triggered Constraints
Taylor P. Reynolds, Michael Szmuk, Danylo Malyuta +3
This paper presents a numerical algorithm for computing 6-degree-of-freedom free-final-time powered descent guidance trajectories. The trajectory generation problem is formulated u…
Real-Time Quad-Rotor Path Planning Using Convex Optimization and Compound State-Triggered Constraints
Michael Szmuk, Danylo Malyuta, Taylor P. Reynolds +2
The contribution of this paper is the application of compound state-triggered constraints (STCs) to real-time quad-rotor path planning. Originally developed for rocket landing appl…
Lossless convexification of non-convex optimal control problems with disjoint semi-continuous inputs
Danylo Malyuta, Michael Szmuk, Behcet Acikmese
This paper presents a convex optimization-based method for finding the globally optimal solutions of a class of mixed-integer non-convex optimal control problems. We consider probl…
Successive Convexification for 6-DoF Powered Descent Guidance with Compound State-Triggered Constraints
Michael Szmuk, Taylor P. Reynolds, Behcet Acikmese +2
This paper introduces a continuous formulation for compound state-triggered constraints, which are generalizations of the recently introduced state-triggered constraints. State-tri…