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 investigates the problem of sliding mode observer (SMO) design for Takagi-
Sugeno (TS) fuzzy descriptor fractional order systems (FOSs) with fractional order 0<;α<;1 …

In this paper, a proportional integral (PI) and a proportional multiple integral observer (PMI)
are proposed in order to estimate the state and the unknown inputs of nonlinear systems …

A large class of nonlinear systems can be well approximated by Takagi–Sugeno (TS) fuzzy
models, with linear or affine consequents. However, in practical applications, the process …

This paper proposes a new approach of observer design for nonlinear systems described by
a Takagi-Sugeno model. Its main contribution concerns models with premise variables …

This article addresses the state and fault estimation problems for a class of quantized Takagi–
Sugeno (TS) fuzzy systems with sensor and actuator faults. Two types of observer design …

A large class of nonlinear systems can be well approximated by Takagi-Sugeno (TS) fuzzy
models with linear or affine consequents. It is well known that the stability of these …

A new observer design method is proposed for Takagi-Sugeno systems with immeasurable
premise variables. Since the state estimation error can be written as a perturbed system …

Au cours des deux dernières décennies, les performances des équipements industriels ont
considérablement été augmentées. L'intégration de calculateurs performants dans les …

In this paper, a new adaptive fuzzy sliding mode (AFSM) observer is proposed which can be
used for a class of MIMO nonlinear systems. In the proposed algorithm, the zero-input …