activity
20062023
most citedAn Influence Network Model to Study Discrepancies in Expressed and Private Opinions

143 citations · 797 across the 63 of their papers we have counts for

collaborators

67 papers

eess.SY2023★ 2 cited

Towards Understanding the Endemic Behavior of a Competitive Tri-Virus SIS Networked Model

Sebin Gracy, Mengbin Ye, Brian D. O. Anderson +1

This paper studies the endemic behavior of a multi-competitive networked susceptible-infected-susceptible (SIS) model. Specifically, the paper deals with three competing virus syst…

math.OC2023★ 1 cited

A note on real similarity to a diagonal dominant matrix

Zhiyong Sun, Brian D. O. Anderson, Wei Chen

This note presents several conditions to characterize real matrix similarity between a Hurwitz matrix (and then more generally, a real square matrix) and a diagonal dominant matrix…

math.DS2022★ 9 cited

Equilibria analysis of a networked bivirus epidemic model using Poincaré--Hopf and Manifold Theory

Brian D. O. Anderson, Mengbin Ye

This paper considers a deterministic Susceptible-Infected-Susceptible (SIS) networked bivirus epidemic model (termed the bivirus model for short), in which two competing viruses sp…

math.OC2021★ 1 cited

Consensus-based Distributed Optimization Enhanced by Integral Feedback

Xuan Wang, Shaoshuai Mou, Brian. D. O. Anderson

Inspired and underpinned by the idea of integral feedback, a distributed constant gain algorithm is proposed for multi-agent networks to solve convex optimization problems with loc…

math.DS2021★ 30 cited

Convergence and Equilibria Analysis of a Networked Bivirus Epidemic Model

Mengbin Ye, Brian D. O. Anderson, Ji Liu

This paper studies a networked bivirus model, in which two competing viruses spread across a network of interconnected populations; each node represents a population with a large n…

eess.SY2020★ 1 cited

On global convergence of area-constrained formations of hierarchical multi-agent systems

Toshiharu Sugie, Fei Tong, Brian D. O. Anderson +1

This paper is concerned with a formation shaping problem for point agents in a two-dimensional space, where control avoids the possibility of reflection ambiguities. One solution f…