In this paper, the advances of distributed fusion estimation (DFE) algorithms for multi-sensor
networked systems (NSs) are reviewed. First, several general DFE algorithms are reviewed …

This paper addresses the distributed resilient filtering problem for a class of power systems
subject to denial-of-service (DoS) attacks. A novel distributed filter is first constructed to …

A new estimation method for power system dynamic state estimation, the unscented Kalman
filter (UKF), is presented. It is based on the application of the unscented transformation (UT) …

In this paper, the state estimation problem is investigated for a class of discrete-time complex
networks subject to nonlinearities, mixed delays, and stochastic noises. A set of event-based …

This paper is concerned with the optimal linear estimation problem for linear discrete-time
stochastic systems with multiple packet dropouts. Based on a packet dropout model, the …

In this paper, the state estimation problem is investigated for a class of continuous-time
complex networks with bounded distributed delay. For the network under consideration, only …

This article develops a joint diagnosis and estimation algorithm for state of charge of lithium-
ion batteries subject to sensor measurement outlier. By means of the chi-square test …

In this paper, the fusion estimation problem is investigated for a class of multi-rate power
systems with randomly occurring delays in supervisory control and data acquisition …

State estimation problem for power systems has long been a fundamental issue that
demands a variety of methodologies depending on the system settings. With the recent …

This paper is concerned with the optimal linear estimation problem for linear discrete-time
stochastic systems with random sensor delays, packet dropouts and uncertain observations …