activity
20162020
most citedNetworked Multi-Virus Spread with a Shared Resource: Analysis and Mitigation Strategies

17 citations · 17 across the 2 of their papers we have counts for

collaborators

7 papers

eess.SY202017 cited

Networked Multi-Virus Spread with a Shared Resource: Analysis and Mitigation Strategies

Axel Janson, Sebin Gracy, Philip E. Paré +2

The paper studies multi-competitive continuous-time epidemic processes in the presence of a shared resource. We consider the setting where multiple viruses are simultaneously preva…

eess.SY2020

Data-Driven Distributed Mitigation Strategies and Analysis of Mutating Epidemic Processes

Philip E Pare, Sebin Gracy, Henrik Sandberg +1

In this paper we study a discrete-time SIS (susceptible-infected-susceptible) model, where the infection and healing parameters and the underlying network may change over time. We…

eess.SY2020

Analysis, Online Estimation, and Validation of a Competing Virus Model

Philip E. Pare, Damir Vrabac, Henrik Sandberg +1

In this paper we introduce a discrete time competing virus model and the assumptions necessary for the model to be well posed. We analyze the system exploring its different equilib…

eess.SY2019

Analysis and distributed control of periodic epidemic processes

Sebin Gracy, Philip. E. Pare, Henrik Sandberg +1

This paper studies epidemic processes over discrete-time periodic time-varying networks. We focus on the susceptible-infected-susceptible (SIS) model that accounts for a (possibly)…

math.OC2019

Model Boundary Approximation Method as a Unifying Framework for Balanced Truncation and Singular Perturbation Approximation

Philip E. Paré, David Grimsman, Alma T. Wilson +2

We show that two widely accepted model reduction techniques, Balanced Truncation and Balanced Singular Perturbation Approximation, can be derived as limiting approximations of a ca…

math.OC2019

Analysis and Control of a Continuous-Time Bi-Virus Model

Ji Liu, Philip E. Pare, Angelia Nedich +3

This paper studies a distributed continuous-time bi-virus model in which two competing viruses spread over a network consisting of multiple groups of individuals. Limiting behavior…