Search Results for author: Sebin Gracy

Found 13 papers, 0 papers with code

A Discrete-time Networked Competitive Bivirus SIS Model

no code implementations20 Oct 2023 Sebin Gracy, Ji Liu, Tamer Basar, Cesar A. Uribe

We identify a sufficient condition for exponential convergence to the disease-free equilibrium (DFE).

Competitive Networked Bivirus SIS spread over Hypergraphs

no code implementations25 Sep 2023 Sebin Gracy, Brian D. O. Anderson, Mengbin Ye, Cesar A. Uribe

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 between the population nodes.

Analysis, Control, and State Estimation for the Networked Competitive Multi-Virus SIR Model

no code implementations15 May 2023 Ciyuan Zhang, Sebin Gracy, Tamer Basar, Philip E. Pare

Second, we propose an observation model which captures the summation of all the viruses' infection levels in each node, which represents the individuals who are infected by different viruses but share similar symptoms.

Multi-Competitive Virus Spread over a Time-Varying Networked SIS Model with an Infrastructure Network

no code implementations15 Mar 2023 Sebin Gracy, YuAn Wang, Philip E. Pare, Cesar A Uribe

We study the spread of multi-competitive viruses over a (possibly) time-varying network of individuals accounting for the presence of shared infrastructure networks that further enables transmission of the virus.

A State Feedback Controller for Mitigation of Continuous-Time Networked SIS Epidemics

no code implementations9 Oct 2022 YuAn Wang, Sebin Gracy, César A. Uribe, Hideaki Ishii, Karl Henrik Johansson

The upshot of devising such a strategy is that it allows health administration officials to ensure that there is sufficient capacity in the healthcare system to treat the most severe cases.

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

no code implementations23 Sep 2022 Sebin Gracy, Mengbin Ye, Brian DO Anderson, Cesar A. Uribe

This paper studies the endemic behavior of a multi-competitive networked susceptible-infected-susceptible (SIS) model.

Modeling and Analysis of a Coupled SIS Bi-Virus Model

no code implementations23 Jul 2022 Sebin Gracy, Philip E. Paré, Ji Liu, Henrik Sandberg, Carolyn L. Beck, Karl Henrik Johansson, Tamer Başar

We establish a sufficient condition and multiple necessary conditions for local exponential convergence to the boundary equilibrium (i. e., one virus persists, the other one dies out) of each virus.

A Networked Competitive Multi-Virus SIR Model: Analysis and Observability

no code implementations1 Apr 2022 Ciyuan Zhang, Sebin Gracy, Tamer Basar, Philip E. Pare

This paper proposes a novel discrete-time multi-virus SIR (susceptible-infected-recovered) model that captures the spread of competing SIR epidemics over a population network.

Leakage Localization in Water Distribution Networks: A Model-Based Approach

no code implementations31 Mar 2022 Ludvig Lindstrom, Sebin Gracy, Sindri Magnusson, Henrik Sandberg

Finally, assuming the existence of a single leak, for a network comprising of more than one pipe and assuming that the network has a tree structure, we provide a systematic procedure for determining the leak location, the leak exponent, and the leak constant

Distributed Optimal Allocation with Quantized Communication and Privacy-Preserving Guarantees

no code implementations29 Sep 2021 Jakob Nylöf, Apostolos I. Rikos, Sebin Gracy, Karl H. Johansson

It is shown that the proposed privacy-preserving resource allocation algorithm performs well with an appropriate convergence rate under privacy guarantees.

Privacy Preserving

Multi-Layer SIS Model with an Infrastructure Network

no code implementations20 Sep 2021 Philip E. Pare, Axel Janson, Sebin Gracy, Ji Liu, Henrik Sandberg, Karl H. Johansson

We develop a layered networked spread model for a susceptible-infected-susceptible (SIS) pathogen-borne disease spreading over a human contact network and an infrastructure network, and refer to it as a layered networked susceptible-infected-water-susceptible (SIWS) model.

Suppressing the endemic equilibrium in SIS epidemics: A state dependent approach

no code implementations31 May 2021 YuAn Wang, Sebin Gracy, Hideaki Ishii, Karl Henrik Johansson

This paper considers the susceptible-infected-susceptible (SIS) epidemic model with an underlying network structure among subpopulations and focuses on the effect of social distancing to regulate the epidemic level.

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