6 papers
An Application of Model Reference Adaptive Control for Multi-Agent Synchronization in Drone Networks
Miguel F. Arevalo-Castiblanco, Yejin Wi, Marzia Cescon and +1
This paper presents the application of a Distributed Model Reference Adaptive Control (DMRAC) strategy for robust multi-agent synchronization of a network of drones. The proposed a…
An Optimal Transport Approach for Network Regression
Alex G. Zalles, Kai M. Hung, Ann E. Finneran +2
We study the problem of network regression, where one is interested in how the topology of a network changes as a function of Euclidean covariates. We build upon recent development…
PIDformer: Transformer Meets Control Theory
Tam Nguyen, César A. Uribe, Tan M. Nguyen +1
In this work, we address two main shortcomings of transformer architectures: input corruption and rank collapse in their output representation. We unveil self-attention as an auton…
A Discrete-time Networked Competitive Bivirus SIS Model
Sebin Gracy, Ji Liu, Tamer Basar +1
The paper deals with the analysis of a discrete-time networked competitive bivirus susceptible-infected-susceptible (SIS) model. More specifically, we suppose that virus 1 and viru…
Competitive Networked Bivirus SIS spread over Hypergraphs
Sebin Gracy, Brian D. O. Anderson, Mengbin Ye +1
The paper deals with the spread of two competing viruses over a network of population nodes, accounting for pairwise interactions and higher-order interactions (HOI) within and bet…
On First-Order Meta-Reinforcement Learning with Moreau Envelopes
Mohammad Taha Toghani, Sebastian Perez-Salazar, César A. Uribe
Meta-Reinforcement Learning (MRL) is a promising framework for training agents that can quickly adapt to new environments and tasks. In this work, we study the MRL problem under th…