Lithium-ion batteries are a green and environmental energy storage component, which have
become the first choice for energy storage due to their high energy density and good cycling …

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 …

Cross-domain rotating machinery fault diagnosis has achieved great success recently with
the development of deep transfer learning. However, conventional deep transfer learning …

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 …

In recent years, deep learning techniques have achieved significant progress in a variety of
tasks. However, existing techniques might not perform well in the presence of data scarcity …

In the paper, a fault-tolerant tracking control strategy is proposed for a class of nonlinear
high-order fully-actuated systems (HOFASs) with multiplicative and additive actuator faults …

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 …

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 …

Predefined-time control has made great progress in recent years, but its current techniques
have limitations in their applicability to systems experiencing mismatched disturbances, and …

This article presents a novel self-healing fault accommodation framework for high-order fully
actuated systems (HOFASs) with sensor faults. Starting from the HOFAS model with …