7 papers
Local Reproduction Numbers for Analysis and Optimal Mitigation of Epidemic Processes
José I. Caiza, Junjie Qin, Philip E. Paré
In this paper, we propose a unifying framework to analyze layered networked epidemic processes where the population, represented either as a networked SIS or SIR model, is coupled…
Optimal Bayesian Persuasion for Containing SIS Epidemics
Urmee Maitra, Ashish R. Hota, Philip E. Paré
We consider a susceptible-infected-susceptible (SIS) epidemic model in which a large group of individuals decide whether to adopt partially effective protection without being aware…
Safe Reference Tracking and Collision Avoidance for Taxiing Aircraft Using an MPC-CBF Framework
Brooks A. Butler, Zarif Cabrera, Andy Nguyen +1
In this paper, we develop a framework for the automatic taxiing of aircraft between hangar and take-off given a graph-based model of an airport. We implement a high-level path-plan…
Collaborative Safety-Critical Formation Control with Obstacle Avoidance
Brooks A. Butler, Chi Ho Leung, Philip E. Paré
This work explores a collaborative method for ensuring safety in multi-agent formation control problems. We formulate a control barrier function (CBF) based safety filter control l…
Global and Distributed Reproduction Numbers of a Multilayer SIR Model with an Infrastructure Network
José I. Caiza, Junjie Qin, Philip E. Paré
In this paper, we propose an SIR spread model in a population network coupled with an infrastructure network that has a pathogen spreading in it. We develop a threshold condition t…
Control of SIR Epidemics: Sacrificing Optimality for Feasibility
Baike She, Lei Xin, Shreyas Sundaram +1
We study the impact of parameter estimation and state measurement errors on a control framework for optimally mitigating the spread of epidemics. We capture the epidemic spreading…
Online Identification of Time-Varying Systems Using Excitation Sets and Change Point Detection
Chi Ho Leung, Ashish R. Hota, Philip E. Paré
In this work, we first show that the problem of parameter identification is often ill-conditioned and lacks the persistence of excitation required for the convergence of online lea…