The sampled-data systems have been extensively applied to practical engineering because
the digital signal shows great advantages in data transmission, storage and exchange. As a …

Multi-sensor filtering fusion (MSFF) is a fascinating subject in the realm of networked filtering
due to its advantage of effectively integrating sensor outputs from multiple sources. Owing to …

Accurate estimation of dynamic states is the key to monitoring power system operating
conditions and controlling transient stability. The inevitable non-Gaussian noise and …

In this article, a new distributed filtering problem is studied for a class of state-saturated time-
varying systems over sensor networks under measurement censoring, where the censored …

For radio-based time-of-arrival (TOA) positioning systems applied in harsh environments,
obstacles in the surroundings and on the vehicle itself will block the signals from the …

ABSTRACT Vanadium Redox Flow Battery (VRFB) is widely utilized in energy storage due
to its excellent characteristics. Credible knowledge of the state of charge (SOC) is a pre …

In the autonomous navigation of mobile robots, precise positioning is crucial. In forest
environments with weak satellite signals or in sites disturbed by complex environments …

Industrial Internet of Things (IIoT)-based control is growing rapidly, such as smart factories
and industrial automation. Sensing and transmitting physical state measurements is the first …

Multisensor navigation via redundancy and complementary has been widely applied to
safety-critical services, such as self-driving vehicles. To improve the robustness and …

This article addresses the problem of distributed joint estimation for a class of discrete‐time
time‐varying systems subject to random nonlinearities and unknown inputs over sensor …