Industrial cyber-physical systems (ICPSs) are the backbones of Industry 4.0 and as such,
have become a core transdisciplinary area of research, both in industry and academia. New …

In the conventional approaches to the design of fault diagnosis systems, little effort is usually
paid to the selection of the parity vectors. As a result, the systems' performance can be …

The position sensor is one of the most used devices in Adjustable Speed Drives (ASDs). Its
use is mandatory in electric machines vector control. In this paper, an interest was …

The cyber-physical systems (CPSs) are the central research topic in the era of Industrial 4.0.
Such systems interact intensively between physical entities and abstract information, and …

A data-driven distributed formation control algorithm is proposed for an unknown
heterogeneous non-affine nonlinear discrete-time MIMO multi-agent system (MAS) with …

The stability margin is an important attribute for the robustness analysis of the closed loop in
a control system design, which indicates the tolerant-ability of the closed-loop stability to …

The bearing is the key component of rotating machinery, and its performance directly
determines the reliability and safety of the system. Data-based bearing fault diagnosis has …

This article proposes an integrated approach of model-based and data-driven gap metric
fault detection and isolation in a stochastic framework. For actuator and sensor faults, an …

This article proposes a novel data-driven gap metric fault detection and isolation (FDI)
approach for small multiplicative fault. First, the scheme of model-based fault classification …

The problem of event-triggered networked fault detection for positive systems with
Markovian parameters is investigated in this paper. A dynamic linear event-triggered …