activity
20182021
most citedModeling and Control of Large-Scale Adversarial Swarm Engagements

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

collaborators

9 papers

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.OC20212 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…

cs.LG20201 cited

Neural Network Approximations of Compositional Functions With Applications to Dynamical Systems

Wei Kang, Qi Gong

As demonstrated in many areas of real-life applications, neural networks have the capability of dealing with high dimensional data. In the fields of optimal control and dynamical s…

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.DS20191 cited

Density Propagation with Characteristics-based Deep Learning

Tenavi Nakamura-Zimmerer, Daniele Venturi, Qi Gong +1

Uncertainty propagation in nonlinear dynamic systems remains an outstanding problem in scientific computing and control. Numerous approaches have been developed, but are limited in…

math.NA2019

A new scalable algorithm for computational optimal control under uncertainty

Panos Lambrianides, Qi Gong, Daniele Venturi

We address the design and synthesis of optimal control strategies for high-dimensional stochastic dynamical systems. Such systems may be deterministic nonlinear systems evolving fr…