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20192025
most citedControllability of Linear Dynamical Systems Under Input Sparsity Constraints

18 citations · 40 across the 16 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

eess.SP2020

Anomaly Detection Under Controlled Sensing Using Actor-Critic Reinforcement Learning

Geethu Joseph, M. Cenk Gursoy, Pramod K. Varshney

We consider the problem of detecting anomalies among a given set of processes using their noisy binary sensor measurements. The noiseless sensor measurement corresponding to a norm…

eess.SY2020

Output Controllability of a Linear Dynamical System with Sparse Controls

Geethu Joseph

In this paper, we study the conditions to be satisfied by a discrete-time linear system to ensure output controllability using sparse control inputs. A set of necessary and suffici…

eess.SP2020★ 14 cited

Measurement Bounds for Compressed Sensing in Sensor Networks with Missing Data

Geethu Joseph, Pramod K. Varshney

In this paper, we study the problem of sparse vector recovery at the fusion center of a sensor network from linear sensor measurements when there is missing data. In the presence o…

cs.SI2020

Controllability of Network Opinion in Erdos-Renyi Graphs using Sparse Control Inputs

Geethu Joseph, Buddhika Nettasinghe, Vikram Krishnamurthy +1

This paper considers a social network modeled as an Erdos Renyi random graph. Each individual in the network updates her opinion using the weighted average of the opinions of her n…

eess.SY2020

Controllability of a Linear System with Nonnegative Sparse Controls

Geethu Joseph

This paper studies controllability of a discrete-time linear dynamical system using nonnegative and sparse inputs. These constraints on the control input arise naturally in many re…