Sensor selection for Kalman filtering of linear dynamical systems: Complexity, limitations and greedy algorithms

H Zhang, R Ayoub, S Sundaram - Automatica, 2017 - Elsevier
We consider the problem of selecting an optimal set of sensors to estimate the states of
linear dynamical systems. Specifically, the goal is to choose (at design-time) a subset of …

A Review on Wireless Networked Control System: The Communication Perspective

Y Wang, S Wu, C Lei, J Jiao… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The wireless networked control system (WNCS) is a closed-loop hierarchical network that
enables interaction among wireless communication, computation, and control components …

Stochastic link activation for distributed filtering under sensor power constraint

W Yang, C Yang, H Shi, L Shi, G Chen - Automatica, 2017 - Elsevier
We consider the problem of link activation for distributed estimation with power constraint. To
satisfy the requirement of power consumption, we propose a stochastic link activation …

Optimal downlink–uplink scheduling of wireless networked control for industrial IoT

K Huang, W Liu, Y Li, B Vucetic… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
This article considers a wireless networked control system (WNCS) consisting of a dynamic
system to be controlled (ie, a plant), a sensor, an actuator, and a remote controller for …

Multi-sensor fusion Boolean Bayesian filtering for stochastic Boolean networks

F Li, Y Tang - IEEE Transactions on Neural Networks and …, 2022 - ieeexplore.ieee.org
Stochastic Boolean networks (SBNs) take process noise into account, so it is better to fit the
actual situation and has a wider application background than Boolean networks (BNs) …

On the complexity and approximability of optimal sensor selection and attack for Kalman filtering

L Ye, N Woodford, S Roy… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
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-state …

Distributed resilient interval estimation for sensor networks under aperiodic denial-of-service attacks and adaptive event-triggered protocols

X Li, G Wei, D Ding - Applied Mathematics and Computation, 2021 - Elsevier
The problem of the distributed interval estimation is studied for sensor networks under the
denial-of-service (DoS) attack and the adaptive event-triggered protocol (AETP). The DoS …

Radix-partition-based over-the-air aggregation and low-complexity state estimation for IoT systems over wireless fading channels

M Tang, S Cai, VKN Lau - IEEE Transactions on Signal …, 2022 - ieeexplore.ieee.org
We consider remote state estimation for an internet-of-things (IoT) system, where a number
of distributed IoT sensors monitor a dynamic plant and deliver the state measurements to a …

Resilient sensor placement for Kalman filtering in networked systems: Complexity and algorithms

L Ye, S Roy, S Sundaram - IEEE Transactions on Control of …, 2020 - ieeexplore.ieee.org
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 …

To retransmit or not: Real-time remote estimation in wireless networked control

K Huang, W Liu, Y Li, B Vucetic - ICC 2019-2019 IEEE …, 2019 - ieeexplore.ieee.org
Real-time remote estimation is critical for mission-critical applications including industrial
automation, smart grid, and the tactile Internet. In this paper, we propose a hybrid automatic …