In recent years, the problems of asynchronous control and filtering for Markov jump systems
(MJSs) have received great research attention from scientific and engineering communities …

This paper investigates the consensus problem of the multi-agent system by means of the
sliding mode control (SMC) approach. For each agent, the component-based weighted try …

This article presents a novel observer-based fault-tolerant controller framework for a class of
nonideal time-varying high-order fully actuated systems (HOFASs). The HOFAS theory is an …

This article is concerned with the differentially private average consensus (DPAC) problem
for a class of multiagent systems with quantized communication. By constructing a pair of …

Through the application of deep learning and multi-sensor data, fault features can be
automatically extracted and valuable information can be integrated to tackle intricate …

Aiming at limitations in fully exploiting the temporal correlation features of the original
signals, expensive cost in parameter tuning, and difficulties in obtaining sufficient training …

In recent years, unsupervised anomaly detection based on knowledge distillation has
gained special attention and some promising results have been reported in the literature …

This article is concerned with weak-shot learning, a practical yet challenging scenario in
transfer learning where only a limited amount of weakly labeled data are available in the …

Abstract Autonomous Underwater Vehicles (AUVs) are designed to operate in complex
external environments, making fault detection crucial to overall safety. While a general …

This article investigates the problem of fault-tolerant control (FTC) for nonstrict-feedback
(NSF) stochastic nonlinear systems subject to actuator faults and output constraints. Most of …