With the aid of neural networks, this article develops two data-driven designs of fault
detection (FD) for dynamic systems. The first neural network is constructed for generating …

Photovoltaic (PV) energy has become one of the main sources of renewable energy and is
currently the fastest-growing energy technology. As PV energy continues to grow in …

To achieve the safe, reliable autonomous operation of spacecraft, research on the fault
diagnosis of control systems has attracted the attention of engineers and academicians …

This paper focuses on fault detection and isolation (FDI) for a network of discrete-time multi-
agent systems (MASs) with disturbances, in which a bank of finite-frequency H−/H∞ …

This article addresses the performance-based fault detection (FD) and fault-tolerant control
(FTC) issues for nonlinear systems. For this purpose, in the first part of this article, the …

In actual production processes, the occurrence probability of multiple faults is much higher
than that of a single fault, which will affect the process industry operating performance and …

Fault detection and classification in photovoltaic (PV) systems through real‐time monitoring
is a fundamental task that ensures quality of operation and significantly improves the …

A novel adaptive neural network-based fault-tolerant control scheme is proposed for six
degree-of-freedom nonlinear helicopter dynamic. The proposed approach can detect and …

This article focuses on the problem of fault detection filtering design for discrete-time interval
type-2 Takagi-Sugeno (TS) fuzzy systems in finite frequency domain. Considering the fact …

The stability of product quality is a crucial issue in the process industries. Quality-related
fault isolation usually assists in the real-time monitoring of process industries, thus allowing …