We propose an open-loop and a closed-loop stochastic event-triggered sensor schedule for
remote state estimation. Both schedules overcome the essential difficulties of existing …

Cyber-security is of the fundamental importance for cyber-physical systems (CPSs), since
CPSs are vulnerable to cyber attack. In order to make the defensive measures better, one …

In networked systems, state estimation is hampered by communication limits. Past
approaches, which consider scheduling sensors through deterministic event-triggers …

Real-time remote estimation is critical for mission-critical applications including industrial
automation, smart grid and tactile Internet. In this paper, we propose a hybrid automatic …

In this paper, we extend the stability theory on Kalman filtering with intermittent
measurements from the scenario of one single sensor to the one of multiple sensors …

This article is concerned with developing a novel distributed Kalman filtering algorithm over
wireless sensor networks based on randomized consensus strategy. Compared with …

We consider a fundamental remote state estimation problem of discrete-time linear time-
invariant (LTI) systems. A smart sensor forwards its local state estimate to a remote estimator …

A decentralized state estimator is derived for the spatially interconnected systems composed
of many subsystems with arbitrary connection relations. An optimization problem on the …

This paper studies a sensor selection problem. A group of sensors measure the state of a
process and send their measurements to a remote estimator. Due to communication …

Recently, there has been a growing volume of literature on the security aspect of wireless
cyber-physical systems (CPS). Remote state estimation through wireless channels is a …