Fault diagnosis for descriptor systems by equivalent transformations

Sensor fault diagnosis for a class of LPV descriptor systems

In this paper, a sensor model-based fault diagnosis method for a particular class of linear parameter variant (LPV) systems is developed. The main contribution of this work is to propose an adequate observer that performs fault detection over the whole operating range of the system. The conditions for the existence of an observer are given. Such conditions guarantees the observer convergence an...

Fault Diagnosis for Linear Time-Varying Descriptor Systems

In this paper fault diagnosis is studied for linear time varying descriptor systems, which are the discrete time counterpart of the continuous time dynamic systems described by differentialalgebraic equations. This class of systems includes and is broader than the well-known state space systems. The framework of descriptor systems is particularly useful for studying dynamic systems exhibiting t...

Fault diagnosis for a class of descriptor linear parameter varying systems

Fault Diagnosis Based on Robust Observer for Descriptor-LPV Systems with Unmeasurable Scheduling Functions

This paper design a method for fault detection and isolation based on observers for systems modelled as Descriptor-Linear Parameter Varying (D-LPV) with Unmeasurable Scheduling Functions (USF). The first contribution of the paper is deal with the USF problem by transforming the into an uncertain D-LPV system with an estimated scheduling parameter. As a second contribution, a robust LPV observer...

Design of observers for Takagi–Sugeno descriptor systems with unknown inputs and application to fault diagnosis

A method for state-estimation of Takagi–Sugeno descriptor systems (TSDS) affected by unknown inputs (UI) has been presented here. For ease of implementation’s sake, the proposed observers are not in descriptor form, but in usual form. Sufficient existence conditions of the unknown input observers (UIOs) are given and strict linear matrix inequalities are solved to determine the gain of the obse...