The distributed state and parameter estimation problem is investigated in this paper for
discrete-time nonlinear systems subject to sensor nonlinearities and stochastic disturbances …

In this paper, some recent results on the distributed filtering, estimation and fusion
algorithms for nonlinear systems with communication constraints are reviewed. First, some …

An event-triggered distributed state estimation problem is investigated for a class of discrete-
time nonlinear stochastic systems with unknown parameters over sensor networks (SNs) …

In this paper, the high-dimensional distributed state estimation problem is investigated for a
class of sensor networks within the cubature Kalman filtering (CKF) framework. The network …

This paper addresses the state estimation problem for a discrete-time uncertain system with
a network of sensors, where the system is not necessarily observable by each sensor and …

This article studies the filtering problem for a class of stochastic nonlinear system under non-
Gaussian–Lévy noise and cyber attacks, where the denial-of-service (DoS) attacks and the …

This article studies a security issue in remote distributed consensus estimation where
sensors transmit their measurements to remote estimators via a wireless communication …

This paper investigates a distributed secure estimation problem for a nonlinear stochastic
system subject to false data injection attack. The target plant is disturbed by unknown input …

This paper presents a solution to the mean-square state estimation problem for stochastic
nonlinear polynomial systems over polynomial observations confused with additive white …

This paper is concerned with the recursive secure filtering problem for a class of discrete-
time systems subject to unreliable communication due to the security vulnerability of sensor …