182 citations · 1k across the 67 of their papers we have counts for
7 papers · 1 filter
Sensor Scheduling in Variance Based Event Triggered Estimation with Packet Drops
Alex S. Leong, Subhrakanti Dey, Daniel E. Quevedo
This paper considers a remote state estimation problem with multiple sensors observing a dynamical process, where sensors transmit local state estimates over an independent and ide…
Fake-Acknowledgment Attack on ACK-based Sensor Power Schedule for Remote State Estimation
Yuzhe Li, Daniel E. Quevedo, Subhrakanti Dey +1
We consider a class of malicious attacks against remote state estimation. A sensor with limited resources adopts an acknowledgement (ACK)-based online power schedule to improve the…
Shaped Gaussian Dictionaries for Quantized Networked Control Systems with Correlated Dropouts
Edwin G. W. Peters, Daniel E. Quevedo, Jan Østergaard
This paper studies fixed rate vector quantisation for noisy networked control systems (NCSs) with correlated packet dropouts. In particular, a discrete-time linear time invariant s…
On the Reachability of Networked Systems
Mohsen Zamani, Brett Ninness, Daniel Quevedo
In this paper, we study networks of discrete-time linear time-invariant subsystems. Our focus is on situations where subsystems are connected to each other through a time-invariant…
Kalman Filtering With Relays Over Wireless Fading Channels
Alex S. Leong, Daniel E. Quevedo
This note studies the use of relays to improve the performance of Kalman filtering over packet dropping links. Packet reception probabilities are governed by time-varying fading ch…
Data-Driven Power Control for State Estimation: A Bayesian Inference Approach
Junfeng Wu, Yuzhe Li, Daniel E. Quevedo +2
We consider sensor transmission power control for state estimation, using a Bayesian inference approach. A sensor node sends its local state estimate to a remote estimator over an…