182 citations · 1k across the 67 of their papers we have counts for
7 papers · 1 filter
Optimization over time-varying networks with unbounded delays
Arunselvan Ramaswamy, Adrian Redder, Daniel E. Quevedo
Solving optimization problems in multi-agent systems (MAS) involves information exchange between agents. These solutions must be robust to delays and errors that arise from an unre…
Stochastic Predictive Control under Intermittent Observations and Unreliable Actions
Prabhat K. Mishra, Debasish Chatterjee, Daniel E. Quevedo
We propose a provably stabilizing and tractable approach for control of constrained linear systems under intermittent observations and unreliable transmissions of control commands.…
A Game-Theoretic Approach to Covert Communications
Alex S. Leong, Daniel E. Quevedo, Subhrakanti Dey
This paper considers a game-theoretic formulation of the covert communications problem with finite blocklength, where the transmitter (Alice) can randomly vary her transmit power i…
An event-triggered transmission scheduling strategy for remote state estimation in the presence of an eavesdropper
Jingyi Lu, Alex S. Leong, Daniel E. Quevedo
We consider a remote state estimation problem in the presence of an eavesdropper over packet dropping links. A smart sensor transmits its local estimates to a legitimate remote est…
Deep reinforcement learning for scheduling in large-scale networked control systems
Adrian Redder, Arunselvan Ramaswamy, Daniel E. Quevedo
This work considers the problem of control and resource scheduling in networked systems. We present DIRA, a Deep reinforcement learning based Iterative Resource Allocation algorith…
Finite Time Encryption Schedule in the Presence of an Eavesdropper with Operation Cost
Lingying Huang, Alex S. Leong, Daniel E. Quevedo +1
In this paper, we consider a remote state estimation problem in the presence of an eavesdropper. A smart sensor takes measurement of a discrete linear time-invariant (LTI) process…