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20132024
most citedResilient Sensor Placement for Kalman Filtering in Networked Systems: Complexity and Algorithms

15 citations · 43 across the 21 of their papers we have counts for

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math.OC2021

Planning for Package Deliveries in Risky Environments Over Multiple Epochs

Blake Wilson, Jeffrey Hudack, Shreyas Sundaram

We study a risk-aware robot planning problem where a dispatcher must construct a package delivery plan that maximizes the expected reward for a robot delivering packages across mul…

math.OC2020

Distributed Maximization of Submodular and Approximately Submodular Functions

Lintao Ye, Shreyas Sundaram

We study the problem of maximizing a submodular function, subject to a cardinality constraint, with a set of agents communicating over a connected graph. We propose a distributed g…

math.OC202015 cited

Resilient Sensor Placement for Kalman Filtering in Networked Systems: Complexity and Algorithms

Lintao Ye, Sandip Roy, Shreyas Sundaram

Given a linear dynamical system affected by noise, we study the problem of optimally placing sensors (at design-time) subject to a sensor placement budget constraint in order to mi…

math.OC2020

On the Set of Possible Minimizers of a Sum of Known and Unknown Functions

Kananart Kuwaranancharoen, Shreyas Sundaram

The problem of finding the minimizer of a sum of convex functions is central to the field of optimization. Thus, it is of interest to understand how that minimizer is related to th…

math.OC2020

On the Complexity and Approximability of Optimal Sensor Selection and Attack for Kalman Filtering

Lintao Ye, Nathaniel Woodford, Sandip Roy +1

Given a linear dynamical system affected by stochastic noise, we consider the problem of selecting an optimal set of sensors (at design-time) to minimize the trace of the steady st…

math.OC2017

Distributed Functional Observers for LTI Systems

Aritra Mitra, Shreyas Sundaram

We study the problem of designing distributed functional observers for LTI systems. Specifically, we consider a setting consisting of a state vector that evolves over time accordin…