Moving horizon estimation meets multi-sensor information fusion: Development, opportunities and challenges

L Zou, Z Wang, J Hu, QL Han - Information Fusion, 2020 - Elsevier
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 …

Robust Kalman filter for position estimation of automated guided vehicles under cyberattacks

M Elsisi, M Altius, SF Su, CL Su - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Automated guided vehicles (AGVs) have become a key part of many industries, where they
handle the task of managing material flows. As a result, they are very important targets for …

Ultimately bounded filtering subject to impulsive measurement outliers

L Zou, Z Wang, J Hu, H Dong - IEEE Transactions on Automatic …, 2021 - ieeexplore.ieee.org
This article is concerned with the ultimately bounded filtering problem for a class of linear
time-delay systems subject to norm-bounded disturbances and impulsive measurement …

Moving horizon estimation for networked time-delay systems under Round-Robin protocol

L Zou, Z Wang, QL Han, D Zhou - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This paper is concerned with the moving horizon estimation problem for a class of discrete
time-delay systems under the Round-Robin (RR) protocol. The communication between the …

Partial-node-based state estimation for delayed complex networks under intermittent measurement outliers: A multiple-order-holder approach

L Zou, Z Wang, J Hu, H Dong - IEEE Transactions on Neural …, 2022 - ieeexplore.ieee.org
This article is concerned with the partial-node-based (PNB) state estimation problem for
delayed complex networks (DCNs) subject to intermittent measurement outliers (IMOs). In …

Set-membership filtering subject to impulsive measurement outliers: A recursive algorithm

L Zou, Z Wang, H Geng, X Liu - IEEE/CAA Journal of …, 2021 - ieeexplore.ieee.org
This paper is concerned with the set-membership filtering problem for a class of linear time-
varying systems with norm-bounded noises and impulsive measurement outliers. A new …

Moving-horizon estimation for linear dynamic networks with binary encoding schemes

Q Liu, Z Wang - IEEE Transactions on Automatic Control, 2020 - ieeexplore.ieee.org
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 …

Probability-guaranteed envelope-constrained filtering for nonlinear systems subject to measurement outliers

L Ma, Z Wang, J Hu, QL Han - IEEE Transactions on Automatic …, 2020 - ieeexplore.ieee.org
This article deals with the recursive filtering problem for nonlinear time-varying stochastic
systems subject to possible measurement outliers. In order to mitigate the effects from …

Stubborn state observers for linear time-invariant systems

A Alessandri, L Zaccarian - Automatica, 2018 - Elsevier
For the purpose of estimating the state of a linear time-invariant system with measurements
subject to outliers, we propose an observer with a saturated output injection in such a way to …

Decentralized dynamic state estimation for multi-machine power systems with non-Gaussian noises: Outlier detection and localization

B Qu, Z Wang, B Shen, H Dong - Automatica, 2023 - Elsevier
In this paper, the decentralized dynamic state estimation (DSE) problem is investigated for a
class of multi-machine power systems with non-Gaussian noises and measurement outliers …