This paper provides a review about the concept of convex systems based on Takagi-
Sugeno, linear parameter varying (LPV) and quasi-LPV modeling. These paradigms are …

We adopted actual intelligent production requirements and proposed a tiny part defect
detection method to obtain a stable and accurate real-time tiny part defect detection system …

A nuclear power plant (NPP) consists of an enormous number of components with complex
interconnections. Various techniques to detect sensor errors have been developed to …

This paper presents the design of a robust Restricted-Model-Based control providing tools
for both stability and performance analysis of a class of Single-Input-Single-Output (SISO) …

This paper presents actuator fault detection of discrete‐time nonlinear descriptor systems by
means of nonlinear unknown input observers. The approach is based on the exact …

This work studies an unknown input observer (UIO) design dedicated to the Takagi–Sugeno
fuzzy-approximation-based nonlinear singular systems with unknown inputs in the discrete …

The diesel engine has been a significant component of large-scale mechanical systems for
the intelligent manufacturing industry. Because of its complex structure and poor working …

This paper concerns the design of a generalized functional observer for Takagi–Sugeno
descriptor systems. Furthermore, a generalized structure is herein introduced for purposes of …

This article investigates the problem of data-driven actuator fault estimation for cyber-
physical systems (CPSs). First, a stable kernel representation (SKR)-based residual …

This paper proposes a robust state and fault estimation (SFE) method for discrete-time
descriptor linear-parameter-varying (LPV) systems with inexact scheduling variables. As an …