A review of fault tolerant control systems: advancements and applications

AA Amin, KM Hasan - Measurement, 2019 - Elsevier
In this paper, a comprehensive state-of-the-art review of Fault Tolerant Control Systems
(FTCS) is presented with the latest advances and applications. The overall aim of an FTCS …

A survey on active fault-tolerant control systems

A Abbaspour, S Mokhtari, A Sargolzaei, KK Yen - Electronics, 2020 - mdpi.com
Faults and failures in the system components are two main reasons for the instability and the
degradation in control performance. In recent decades, fault-tolerant control (FTC) …

Finite-time-prescribed performance-based adaptive fuzzy control for strict-feedback nonlinear systems with dynamic uncertainty and actuator faults

H Wang, W Bai, X Zhao, PX Liu - IEEE transactions on …, 2021 - ieeexplore.ieee.org
In this article, finite-time-prescribed performance-based adaptive fuzzy control is considered
for a class of strict-feedback systems in the presence of actuator faults and dynamic …

Sliding-mode surface-based adaptive actor-critic optimal control for switched nonlinear systems with average dwell time

H Zhang, H Wang, B Niu, L Zhang, AM Ahmad - Information Sciences, 2021 - Elsevier
This paper studies the problem of sliding-mode surface (SMS)-based adaptive optimal
control for a class of continuous-time switched nonlinear systems with average dwell time …

NB-CNN: Deep learning-based crack detection using convolutional neural network and Naïve Bayes data fusion

FC Chen, MR Jahanshahi - IEEE Transactions on Industrial …, 2017 - ieeexplore.ieee.org
Regular inspection of nuclear power plant components is important to guarantee safe
operations. However, current practice is time consuming, tedious, and subjective, which …

Adaptive neural self-triggered bipartite fault-tolerant control for nonlinear MASs with dead-zone constraints

F Cheng, H Liang, H Wang, G Zong… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
An adaptive neural bipartite tracking control approach is proposed for nonlinear multi-agent
systems in this article. In contrast to previous results, it is worth noting that this paper …

Fault diagnosis for rotating machinery using multiple sensors and convolutional neural networks

M **a, T Li, L Xu, L Liu… - IEEE/ASME transactions …, 2017 - ieeexplore.ieee.org
This paper presents a convolutional neural network (CNN) based approach for fault
diagnosis of rotating machinery. The proposed approach incorporates sensor fusion by …

Extended state observer-based sliding-mode control for three-phase power converters

J Liu, S Vazquez, L Wu, A Marquez… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
This paper proposes an extended state observer (ESO) based second-order sliding-mode
(SOSM) control for three-phase two-level grid-connected power converters. The proposed …

Observer-based adaptive fuzzy fault-tolerant optimal control for SISO nonlinear systems

Y Li, K Sun, S Tong - IEEE transactions on cybernetics, 2018 - ieeexplore.ieee.org
This paper investigates adaptive fuzzy output feedback fault-tolerant optimal control problem
for a class of single-input and single-output nonlinear systems in strict feedback form. The …

Small-gain technique-based adaptive neural output-feedback fault-tolerant control of switched nonlinear systems with unmodeled dynamics

L Ma, N Xu, X Zhao, G Zong… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this article, the issue of adaptive neural fault-tolerant control (FTC) is addressed for a class
of uncertain switched nonstrict-feedback nonlinear systems with unmodeled dynamics and …