The efficacy of the multimodel framework (MMF) in modeling and identification of complex,
nonlinear, and uncertain systems has been widely recognized in the literature owing to its …

The main contribution of this paper is the design of a polytopic unknown inputs proportional
integral observer (UIPIO) for linear parameter‐varying (LPV) descriptor systems. This …

In this paper, a fault diagnosis method is developed for systems described by multi-models.
The main contribution consists in the design of a new fault detection and isolation (FDI) …

This paper illustrates the derivation of a linear parameter varying (LPV) model
approximation of a turbocharged Spark-Ignition (SI) automotive engine and its usage in …

Starting with the baseline controller design, this paper proposes an integrated approach of
active fault tolerant control based on proportional derivative extended state observer …

The work presented in this paper focuses on the design of robust Fault Detection and
Isolation (FDI) filters for dynamic systems characterized by LPV (Linear Parameter Varying) …

This paper addresses the robust fault detection and estimation problem of nonlinear
descriptor system with unknown inputs observers. The considered nonlinear descriptor …

In this paper, the design of a polytopic Unknown Input Observer (UIO) for polytopic Linear
Varying Parameter (LPV) descriptor systems is investigated. The method presented is based …

Cette thèse traite de la synthèse de méthodes de diagnostic et de lois de commandes
actives tolérantes aux défauts pour des systèmes décrits par des multi-modèles. La …

This paper addresses the problem of observer-based fault reconstruction for Takagi–
Sugeno fuzzy systems. Two types of fuzzy learning observers are constructed to achieve …