activity
20182021
most citedDual Quaternion Based Powered Descent Guidance with State-Triggered Constraints

114 citations · 176 across the 11 of their papers we have counts for

collaborators

14 papers

math.OC2021★ 3 cited

Guided Policy Search using Sequential Convex Programming for Initialization of Trajectory Optimization Algorithms

Taewan Kim, Purnanand Elango, Danylo Malyuta +1

Nonlinear trajectory optimization algorithms have been developed to handle optimal control problems with nonlinear dynamics and nonconvex constraints in trajectory planning. The pe…

math.OC2021

Advances in Trajectory Optimization for Space Vehicle Control

Danylo Malyuta, Yue Yu, Purnanand Elango +1

Space mission design places a premium on cost and operational efficiency. The search for new science and life beyond Earth calls for spacecraft that can deliver scientific payloads…

math.OC2021★ 1 cited

Fast Homotopy for Spacecraft Rendezvous Trajectory Optimization with Discrete Logic

Danylo Malyuta, Behcet Acikmese

This paper presents a computationally efficient optimization algorithm for solving nonconvex optimal control problems that involve discrete logic constraints. Traditional solution…

math.OC2021★ 5 cited

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…

math.OC2019★ 1 cited

Lossless Convexification of Optimal Control Problems with Semi-continuous Inputs

Danylo Malyuta, Behcet Acikmese

This paper presents a novel convex optimization-based method for finding the globally optimal solutions of a class of mixed-integer non-convex optimal control problems. We consider…

cs.RO2019★ 47 cited

Long-Duration Fully Autonomous Operation of Rotorcraft Unmanned Aerial Systems for Remote-Sensing Data Acquisition

Danylo Malyuta, Christian Brommer, Daniel Hentzen +3

Recent applications of unmanned aerial systems (UAS) to precision agriculture have shown increased ease and efficiency in data collection at precise remote locations. However, furt…

math.OC2019

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…

math.OC2019★ 114 cited

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…

math.OC2019

Partition-based Feasible Integer Solution Pre-computation for Hybrid Model Predictive Control

Danylo Malyuta, Behcet Acikmese, Martin Cacan +1

For multiparametric mixed-integer convex programming problems such as those encountered in hybrid model predictive control, we propose an algorithm for generating a feasible partit…

math.OC2019

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…

math.OC2019

Approximate Multiparametric Mixed-integer Convex Programming

Danylo Malyuta, Behcet Acikmese

We propose an algorithm for generating explicit solutions of multiparametric mixed-integer convex programs to within a given suboptimality tolerance. The algorithm is applicable to…

math.OC2019

Robust Model Predictive Control for Linear Systems with State and Input Dependent Uncertainties

Danylo Malyuta, Behcet Acikmese, Martin Cacan

This paper presents a computationally efficient robust model predictive control law for discrete linear time invariant systems subject to additive disturbances that may depend on t…

math.OC2019★ 5 cited

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…

cs.RO2018

Long-Duration Autonomy for Small Rotorcraft UAS including Recharging

Christian Brommer, Danylo Malyuta, Daniel Hentzen +1

Many unmanned aerial vehicle surveillance and monitoring applications require observations at precise locations over long periods of time, ideally days or weeks at a time (e.g. eco…