This paper 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 mission …

One of the most crucial challenges in graph signal processing is the sampling of bandlimited
graph signals, ie, signals that are sparse in a well-defined graph Fourier domain. So far, the …

This paper investigates the problem of sensor scheduling for remotely estimating the states
of heterogeneous dynamical systems over resource-limited and lossy wireless channels …

The characteristics of the sensor selection method based on various algorithms for state
estimation in a high-dimensional system using the Kalman filter were investigated. Sensors …

Conventional steady-state estimates using SCADA systems focus on optimal network
topologies to make them observable in steady-state. However, approaches based on steady …

In this paper, we consider optimal linear sensor fusion for obtaining a remote state estimate
of a linear process based on the sensor data transmitted over lossy channels. There is no …

In this paper, the problem of the distributed interval estimation is investigated for wireless
sensor networks under the energy-limited attack and the stochastic communication protocol …

In this article, we consider the Kalman filter (KF)-based state estimation in the multisensor
networked control systems. The sensors communicate plant state observations to a remote …

In this paper, we consider sensor selection for (binary) hypothesis testing. Given a pair of
hypotheses and a set of candidate sensors to measure (detect) the signals generated under …

Given a linear dynamical system affected by noise, we consider the problem of optimally
placing sensors (at design-time) subject to certain budget constraints to minimize the trace of …