Fault diagnosis plays a vital role in ensuring safe and efficient operation of modern process
plants. Despite the encouraging progress in its research, developing a reliable and …

The overall architectural complexity of autonomous underwater vehicles continuous to
increase, enlarging the probability of fault occurrence in subsystems. Estimating the thrust …

Current research on lane-keeping systems ignores the effect of the driver and external
resistance on the accuracy of tracking the lane centerline. To reduce the lateral deviation of …

This study proposes two novel methods for tracking extended target with elliptical shape
under non-Gaussian noise conditions. To achieve this, an explicit nonlinear measurement …

A novel unscented particle filtering based log-likelihood ratio (LLR) approach for Fault
detection and isolation (FDI) in nonlinear stochastic systems is proposed. It is well-known …

The locally optimal filter is designed for a class of discrete‐time systems subject to stochastic
nonlinearity functions, finite‐step correlated noises, and missing measurements. The …

Fault diagnosis plays an important role in ensuring safe and efficient chemical production.
This study explores methodologies that integrate simulation and data analytics for fault …

Current research on lane-keeping systems ignores the effect of the driver and external
resistance on the accuracy of tracking the lane centerline. To reduce the lateral deviation of …

A novel and effective method is proposed to estimate the SOH (State of Health) value of the
high power aerial LIB (Lithium-Ion Battery) packs. The comprehensive SOH evaluation is …