2 citations · 4 across the 5 of their papers we have counts for
7 papers · 1 filter
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…
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…
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…
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…
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…
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…