A Review on Wireless Networked Control System: The Communication Perspective
The wireless networked control system (WNCS) is a closed-loop hierarchical network that
enables interaction among wireless communication, computation, and control components …
enables interaction among wireless communication, computation, and control components …
Sensor selection for Kalman filtering of linear dynamical systems: Complexity, limitations and greedy algorithms
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 …
linear dynamical systems. Specifically, the goal is to choose (at design-time) a subset of …
Stochastic link activation for distributed filtering under sensor power constraint
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 …
satisfy the requirement of power consumption, we propose a stochastic link activation …
Optimal downlink–uplink scheduling of wireless networked control for industrial IoT
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 …
system to be controlled (ie, a plant), a sensor, an actuator, and a remote controller for …
[HTML][HTML] Distributed state estimation for linear time-invariant dynamical systems: A review of theories and algorithms
S Huang, LI Yuzhe, WU Junfeng - Chinese Journal of Aeronautics, 2022 - Elsevier
Distributed state estimation is of paramount importance in many applications involving the
large-scale complex systems over spatially deployed networked sensors. This paper …
large-scale complex systems over spatially deployed networked sensors. This paper …
On the complexity and approximability of optimal sensor selection and attack for Kalman filtering
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 …
selecting an optimal set of sensors (at design time) to minimize the trace of the steady-state …
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) …
actual situation and has a wider application background than Boolean networks (BNs) …
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 …
denial-of-service (DoS) attack and the adaptive event-triggered protocol (AETP). The DoS …
Sensor selection and deployment for range-only target localization using optimal sensor-target geometry
S Wang, Y Li, G Qi, A Sheng - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
This article investigates the sensor selection and deployment strategies for target
localization with range-only measurements in 2-D space. Instead of using conventional …
localization with range-only measurements in 2-D space. Instead of using conventional …
To retransmit or not: Real-time remote estimation in wireless networked control
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 …
automation, smart grid, and the tactile Internet. In this paper, we propose a hybrid automatic …