activity
20182024
most citedScaling and Balancing for High-Performance Computation of Optimal Controls

37 citations · 56 across the 5 of their papers we have counts for

collaborators

5 papers

math.OC2024★ 7 cited

Unscented Trajectory Optimization

I. M. Ross, R. J. Proulx, M. Karpenko

In a nutshell, unscented trajectory optimization is the generation of optimal trajectories through the use of an unscented transform. Although unscented trajectory optimization was…

math.OC2023★ 5 cited

Implementations of the Universal Birkhoff Theory for Fast Trajectory Optimization

R. J. Proulx, I. M. Ross

This is part II of a two-part paper. Part I presented a universal Birkhoff theory for fast and accurate trajectory optimization. The theory rested on two main hypotheses. In this p…

math.OC2020★ 7 cited

An Optimal Control Theory for the Traveling Salesman Problem and Its Variants

I. M. Ross, R. J. Proulx, M. Karpenko

We show that the traveling salesman problem (TSP) and its many variants may be modeled as functional optimization problems over a graph. In this formulation, all vertices and arcs…

math.OC2019

Fast Mesh Refinement in Pseudospectral Optimal Control

N. Koeppen, I. M. Ross, L. C. Wilcox +1

Mesh refinement in pseudospectral (PS) optimal control is embarrassingly easy --- simply increase the order of the Lagrange interpolating polynomial and the mathematics of conv…

math.OC2018★ 37 cited

Scaling and Balancing for High-Performance Computation of Optimal Controls

I. M. Ross, Q. Gong, M. Karpenko +1

It is well-known that proper scaling can increase the efficiency of computational problems. In this paper we define and show that a balancing technique can substantially improve th…