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 …
(FTCS) is presented with the latest advances and applications. The overall aim of an FTCS …
A survey on active fault-tolerant control systems
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) …
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
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 …
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
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 …
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
Regular inspection of nuclear power plant components is important to guarantee safe
operations. However, current practice is time consuming, tedious, and subjective, which …
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
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 …
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
This paper presents a convolutional neural network (CNN) based approach for fault
diagnosis of rotating machinery. The proposed approach incorporates sensor fusion by …
diagnosis of rotating machinery. The proposed approach incorporates sensor fusion by …
Extended state observer-based sliding-mode control for three-phase power converters
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 …
(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 …
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
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 …
of uncertain switched nonstrict-feedback nonlinear systems with unmodeled dynamics and …