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20182026
most citedModeling and Control of Large-Scale Adversarial Swarm Engagements

2 citations · 4 across the 5 of their papers we have counts for

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7 papers · 1 filter

math.OC2026

Modeling Large-Scale Adversarial Swarm Engagements using Optimal Control

Claire Walton, Isaac Kaminer, Qi Gong +2

We study optimal control of large-scale autonomous systems under adversarial conditions in which agents may be probabilistically destroyed during an engagement. Because attrition c…

math.OC2021

Defense Against Adversarial Swarms with Parameter Uncertainty

Claire Walton, Isaac Kaminer, Qi Gong +2

This paper addresses the problem of optimal defense of a High Value Unit against a large-scale swarm attack. We show that the problem can be cast in the framework of uncertain para…

math.OC2021★ 2 cited

Modeling and Control of Large-Scale Adversarial Swarm Engagements

Theodoros Tsatsanifos, Abram H. Clark, Claire Walton +2

We theoretically and numerically study the problem of optimal control of large-scale autonomous systems under explicitly adversarial conditions, including probabilistic destruction…

math.OC2020

QRnet: optimal regulator design with LQR-augmented neural networks

Tenavi Nakamura-Zimmerer, Qi Gong, Wei Kang

In this paper we propose a new computational method for designing optimal regulators for high-dimensional nonlinear systems. The proposed approach leverages physics-informed machin…

math.OC2019

Adaptive Deep Learning for High-Dimensional Hamilton-Jacobi-Bellman Equations

Tenavi Nakamura-Zimmerer, Qi Gong, Wei Kang

Computing optimal feedback controls for nonlinear systems generally requires solving Hamilton-Jacobi-Bellman (HJB) equations, which are notoriously difficult when the state dimensi…

math.OC2018

A Pseudospectral Approach to High Index DAE Optimal Control Problems

Harleigh C. Marsh, Mark Karpenko, Qi Gong

Historically, solving optimal control problems with high index differential algebraic equations (DAEs) has been considered extremely hard. Computational experience with Runge-Kutta…