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20102026
most citedOn a Network SIS Epidemic Model with Cooperative and Antagonistic Opinion Dynamics

82 citations · 419 across the 63 of their papers we have counts for

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Showing 2019Show all

6 papers · 1 filter

cs.CY2019★ 15 cited

Resilient Cyberphysical Systems and their Application Drivers: A Technology Roadmap

Somali Chaterji, Parinaz Naghizadeh, Muhammad Ashraful Alam +14

Cyberphysical systems (CPS) are ubiquitous in our personal and professional lives, and they promise to dramatically improve micro-communities (e.g., urban farms, hospitals), macro-…

eess.SY2019

A Communication-Efficient Algorithm for Exponentially Fast Non-Bayesian Learning in Networks

Aritra Mitra, John A. Richards, Shreyas Sundaram

We introduce a simple time-triggered protocol to achieve communication-efficient non-Bayesian learning over a network. Specifically, we consider a scenario where a group of agents…

eess.SY2019

A New Approach to Distributed Hypothesis Testing and Non-Bayesian Learning: Improved Learning Rate and Byzantine-Resilience

Aritra Mitra, John A. Richards, Shreyas Sundaram

We study a setting where a group of agents, each receiving partially informative private signals, seek to collaboratively learn the true underlying state of the world (from a finit…

eess.SY2019★ 2 cited

Optimal Policies for Recovery of Multiple Systems After Disruptions

Hemant Gehlot, Shreyas Sundaram, Satish V. Ukkusuri

We consider a scenario where a system experiences a disruption, and the states (representing health values) of its components continue to reduce over time, unless they are acted up…

cs.RO2019

Multi-Robot Routing for Persistent Monitoring with Latency Constraints

Ahmad Bilal Asghar, Stephen L. Smith, Shreyas Sundaram

In this paper we study a multi-robot path planning problem for persistent monitoring of an environment. We represent the areas to be monitored as the vertices of a weighted graph.…

eess.SY2019

A New Approach for Distributed Hypothesis Testing with Extensions to Byzantine-Resilience

Aritra Mitra, John A. Richards, Shreyas Sundaram

We study a setting where a group of agents, each receiving partially informative private observations, seek to collaboratively learn the true state (among a set of hypotheses) that…