Since the proposal of moving horizon (MH) estimation in 1960s, the MH estimation approach
has drawn ever-increasing research interests due mainly to its inherent capability of …

This paper is concerned with the moving horizon (MH) estimation problem for linear systems
with non-uniform sampling under component-based dynamic event-triggered transmission …

During the past half century, modern control theory has developed greatly and many
branches and subfields have emerged, for example, linear system theory, optimal control …

This paper is concerned with the recursive filtering problem for a class of uncertain systems
with amplify-and-forward (AF) relays. The parameter uncertainties are described by a set of …

A moving-horizon state estimation problem is addressed for a class of nonlinear discrete-
time systems with bounded noises acting on the system and measurement equations. As the …

The event-triggered state estimation problem for linear time-invariant systems is considered
in the framework of Maximum Likelihood (ML) estimation in this paper. We show that the …

This paper presents a novel distributed estimation algorithm based on the concept of moving
horizon estimation. Under weak observability conditions we prove convergence of the state …

This article is concerned with moving-horizon state estimation problems for a class of
discrete-time linear dynamic networks. The signals are transmitted via noisy network …

An approach to state estimation for discrete-time linear time-invariant systems with
measurements that may be affected by outliers is presented by using only a batch of most …

Integrated chargers, where the traction inverter is used as the primary charging interface,
have emerged as a solution for reducing the cost and footprint of electric vehicle (EV) …