Local nonlinear fuzzy systems are useful for control solutions due to their ability to handle
unmeasurable/inexact premise variables and reduce computational complexity. However …

For complex nonlinear systems, interval type-2 fuzzy set is a useful strategy due to its ability
to deal well with uncertainties in the system, while posing some difficulties to fault detection …

This paper addresses the zonotopic observer design for nonlinear systems affected by
uncertainties, ie, state disturbances and measurement noises using Takagi–Sugeno (TS) …

Considering disturbances, noise, and sensor faults, this article investigates interval
estimation for discrete-time Takagi–Sugeno fuzzy systems. To obtain precise estimation …

This article is concerned with the integrated design of fault estimation (FE) and fault-tolerant
control (FTC) for uncertain nonlinear systems suffering from actuator faults and external …

The main goal of this article is to design interval observers for continuous nonlinear switched
systems. The nonlinear modes are described by the multimodel approach of Takagi-Sugeno …

This article develops a unified framework to design fuzzy-model-based observers of general
nonlinear systems for both discrete-time and continuous-time cases. This observer problem …

This paper investigates the problem of fuzzy unknown input observer (FUIO)-based fault
estimation for discrete-time Takagi–Sugeno fuzzy systems. Firstly, an augmented system …

This paper considers zonotopic fault detection observer design in the finite-frequency
domain for discrete-time Takagi–Sugeno fuzzy systems with unknown but bounded …

This letter investigates the design of unknown input (UI) observers for a large class of
nonlinear systems using Takagi-Sugeno (TS) fuzzy modeling. To avoid the well-known issue …