In this paper, the development of data-driven design of process monitoring and fault
diagnosis (PM-FD) systems is reviewed and some recent results are presented. A major …

This paper deals with the data-driven design of observer-based fault detection and control
systems. We first introduce the definitions of the data-driven forms of kernel and image …

The stability margin is an important attribute for the robustness analysis of the closed loop in
a control system design, which indicates the tolerant-ability of the closed-loop stability to …

A novel recursive predictor-based subspace identification method is presented to identify
linear time-invariant systems with multi inputs and multi outputs. The method is implemented …

For digital proportional-integral-derivative control systems with unknown dynamics, the data-
driven output-feedback fault-tolerant control (FTC) problem is studied in this paper. In a …

Gap metric and stability margin have been proven as important model-based analysis tools
for linear time-invariant (LTI) systems. Due to the need for an accurate model, both the gap …

Model predictive control has become an increasingly popular control strategy thanks to the
ability to handle constrained systems. Obtaining the required models through system …

This paper studies the data-driven output-feedback fault-tolerant control (FTC) problem for
unknown dynamic systems with faults changing system dynamics. In a framework of active …

This article studies fault-tolerant resilient control (FTRC) problems for uncertain Takagi–
Sugeno fuzzy systems when subjected to additive actuator faults and/or malicious injections …

This paper is devoted to the data-driven fault detection of nonlinear systems. For our
purpose, the definition of Takagi-Sugeno fuzzy data-driven forms of kernel representations …