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Moving horizon estimation meets multi-sensor information fusion: Development, opportunities and challenges
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 …
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
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 …
handle the task of managing material flows. As a result, they are very important targets for …
Ultimately bounded filtering subject to impulsive measurement outliers
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 …
time-delay systems subject to norm-bounded disturbances and impulsive measurement …
Moving horizon estimation for networked time-delay systems under Round-Robin protocol
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 …
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
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 …
delayed complex networks (DCNs) subject to intermittent measurement outliers (IMOs). In …
Set-membership filtering subject to impulsive measurement outliers: A recursive algorithm
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 …
varying systems with norm-bounded noises and impulsive measurement outliers. A new …
Moving-horizon estimation for linear dynamic networks with binary encoding schemes
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 …
discrete-time linear dynamic networks. The signals are transmitted via noisy network …
Probability-guaranteed envelope-constrained filtering for nonlinear systems subject to measurement outliers
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 …
systems subject to possible measurement outliers. In order to mitigate the effects from …
Stubborn state observers for linear time-invariant systems
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 …
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
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 …
class of multi-machine power systems with non-Gaussian noises and measurement outliers …