This survey of model-based fault diagnosis focuses on those methods that are applicable to
aerospace systems. To highlight the characteristics of aerospace models, generic non-linear …

The diagnosis systems considered in this paper rely on the inconsistency between the
actual process behaviour and its expected behaviour as described by an analytical model …

The seriesAdvancesinIndustrialControl aims to report and encourage te-nologytransfer in
controlengineering. The rapid development of controlte-nology has an impact on all areas of …

This paper is concerned with the fault detection (FD) problem in finite frequency domain for
continuous-time Takagi-Sugeno fuzzy systems with sensor faults. Some finite-frequency …

An approach to fault diagnosis for a class of nonlinear systems is proposed in this paper. It is
based on a new adaptive estimation algorithm for recursive estimation of the parameters …

The world of artificial systems is reaching complexity levels that es cape human
understanding. Surface traffic, electricity distribution, air planes, mobile communications …

The paper presents a robust fault estimation approach for a class of nonlinear discrete‐time
systems. In particular, two sources of uncertainty are present in the considered class of …

This paper addresses the problem of simultaneous fault detection and control (SFDC) for
Markov jump systems (MJSs) over sensor networks. In order to save the bandwidth of the …

“Fault Detection and Isolation: Multi-Vehicle Unmanned System” deals with the design and
development of fault detection and isolation algorithms for unmanned vehicles such as …

A residual generation method for fault diagnosis in deterministic and stochastic linear time-
varying systems is proposed in this note. Based on appropriate assumptions on the …