Many problems in decision making, monitoring, fault detection, and control rely on the
knowledge of state variables and time-varying parameters that are not directly measured by …

This paper proposes two nonlinear estimation approaches, namely based on Extended
Kalman Filter (EKF) and a Takagi-Sugeno Fuzzy Observer with 32 rules (TSFO-32), for a …

This paper addresses the problems of observer-based fault reconstruction and fault-tolerant
control for Takagi-Sugeno fuzzy descriptor systems subject to time delays and external …

This article proposes a novel unknown input functional observer design approach toward
discrete-time interval type-2 Takagi–Sugeno fuzzy system models subject to measurable …

This study is dedicated to the design of observers for non-linear systems described by
Takagi–Sugeno (T–S) multiple models with unmeasurable premise variables. Furthermore …

This paper is dedicated to the design of unknown input (UI) observers for linear parameter-
varying (LPV) systems using algebraic matrix manipulation. First, a discussion is provided …

This paper deals with actuator fault estimation for a class of discrete‐time linear parameter‐
varying descriptor systems. By considering the fault as an auxiliary state vector, an …

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 …

Many practical control systems are subject to possible malfunctions which may cause
significant performance degradation and even instability of the system. To improve reliability …

In this paper, an active Fault Tolerant Tracking Controller (FTTC) scheme dedicated to
vehicle dynamics system is proposed. To address the challenging problem, an uncertain …