The state of health (SOH) is a critical factor in evaluating the performance of the lithium-ion
batteries (LIBs). Due to various end-user behaviors, the LIBs exhibit different degradation …

This paper develops a steps-ahead tool wear prediction method based on particle filtering
and support vector regression. A degradation phase classification method is presented …

The nonlinear filtering problem has enduringly been an active research topic in both
academia and industry due to its ever-growing theoretical importance and practical …

Abstract Predicting the Remaining Useful Lifetime (RUL) of a system has become one of the
primary goals of engineering and reliability researchers. RUL prediction is based on the …

Quantization has been widely employed in analog-to-digital conversion (ADC) for the
acquisition of digital data, which are further utilized for prognostics. However, quantization …

This paper is concerned with nonlinear disturbance observer (DO)-based geometric attitude
fault-tolerant control (FTC) problem of quadrotor unmanned aerial vehicles (UAVs) subject to …

Discharge of hazardous substances into the marine environment poses a substantial risk to
both public health and the ecosystem. In such incidents, it is imperative to accurately …

To ensure the safety of lithium-ion batteries (LIBs), accurately estimating the state of health
(SOH) of LIBs is crucial for end-users. Challenged by new working conditions and limited …

This paper is concerned with finite-time Script H∞ filtering for Markov jump systems with
uniform quantization. The objective is to design quantized mode-dependent filters to ensure …

Motor imagery (MI) aims to use brain imagination without actual body activities to support
motor learning, and machine learning algorithms such as common spatial patterns (CSP) …