This article considers the parameter identification problem of multiple‐input single‐output
Hammerstein nonlinear systems. Applying the data filtering technique, the input–output data …

The important foundation for water resource management and utilization is effective monthly
runoff prediction. In this study, a new coupled model for predicting monthly runoff is …

Efficient anomaly detection is crucial to ensure safe operation of Autonomous vehicles
(AVs). This study proposes an interpretable method for detecting anomalies in AV data …

Skin cancer is one of the fatal cancers worldwide. Early detection of this disease can
significantly increase the survival rate. In this study, a multi-modal and soft attention based …

This paper investigates the event-triggered-based adaptive bipartite finite-time tracking
control problem of nonlinear nonstrict-feedback coopetition multi-agent systems (MASs) with …

We propose a new robust recursive fixed-interval smoother for nonlinear systems under non-
Gaussian process and measurement noises, ie, the nominal Gaussian noise is polluted by …

Unscented Kalman filter (UKF) has been extensively used for state estimation of nonlinear
stochastic systems, which suffers from performance degradation and even divergence when …

Successful implementation of many control strategies is mainly based on accurate
knowledge of the system and its parameters. Besides the stochastic nature of the systems …

The identification of ARX models with constrained output variance in the presence of non-
Gaussian distribution of measurements is proposed in this paper. In the presence of non …

In this article, a new control scheme is proposed to enable multiple quad-copters to
cooperatively carry a cable-suspended payload. This cascaded controller takes into account …