activity
20192022
collaborators

5 papers

eess.SY2022

Minimax Multi-Agent Persistent Monitoring of a Network System

Samuel C. Pinto, Shirantha Welikala, Sean B. Andersson +2

We investigate the problem of optimally observing a finite set of targets using a mobile agent over an infinite time horizon. The agent is tasked to move in a network-constrained s…

eess.SY2021

A Semidefinite Programming Approach to Discrete-time Infinite Horizon Persistent Monitoring

Samuel C. Pinto, Sean B. Andersson, Julien M. Hendrickx +1

We investigate the problem of persistent monitoring, where a mobile agent has to survey multiple targets in an environment in order to estimate their internal states. These interna…

eess.SY2020

Optimal Minimax Mobile Sensor Scheduling Over a Network

Samuel C. Pinto, Sean B. Andersson, Julien M. Hendrickx +1

We investigate the problem of monitoring multiple targets using a single mobile sensor, with the goal of minimizing the maximum estimation error among all the targets over long tim…

eess.SY2020

Multi-Agent Persistent Monitoring of Targets with Uncertain States

Samuel C. Pinto, Sean B. Andersson, Julien M. Hendrickx +1

We address the problem of persistent monitoring, where a finite set of mobile agents has to persistently visit a finite set of targets. Each of these targets has an internal state…

eess.SY2019

Optimal Periodic Multi-Agent Persistent Monitoring of a Finite Set of Targets with Uncertain States

Samuel C. Pinto, Sean B. Andersson, Julien M. Hendrickx +1

We investigate the problem of persistently monitoring a finite set of targets with internal states that evolve with linear stochastic dynamics using a finite set of mobile agents.…