This paper is concerned with the state estimation problem for a class of linear continuous-
time systems under bit rate constraints. The data transmission between the sensors and the …

The design of recursive estimation algorithms in networked systems is an important research
challenge from both theoretical and practical perspectives. The growing number of …

This paper is concerned with the fusion filtering and fixed-point smoothing problems for a
class of networked systems with multiple random uncertainties in both the sensor outputs …

The distributed filtering problem is studied for a multi-rate uniform sampling linear discrete
system over sensor networks, where packet losses may occur during data exchange …

This article addresses the prediction-based distributed filtering problem for a class of time-
varying nonlinear stochastic systems with communication delays and missing …

In this paper, the stabilization problem is investigated for a class of linear discrete-time
systems in a resource-constrained network environment where only the data with finite bits …

This paper investigates the distributed fusion estimation problem for networked systems
whose multisensor measured outputs involve uncertainties modelled by random parameter …

In this article, a secure distributed filtering problem is investigated for a state-saturated
system subject to random occurring nonlinearities and deception attack. To resist the hostile …

This paper studies a distributed filtering problem for sensor networks, where sensor nodes
may suffer from their own fading measurements and random delayed and lost state …

This paper studies distributed estimation problems for multi-sensor systems with missing
data. Missing data may occur during sensor measuring or data exchanging among sensor …