Model-based fault diagnosis methods for systems with stochastic process–a survey
Z Zhao, PX Liu, J Gao - Neurocomputing, 2022 - Elsevier
Abstract Model-based methods are widely used for the fault diagnosis of stochastic dynamic
systems by simply using the input–output relationship of the system. Despite encouraging …
systems by simply using the input–output relationship of the system. Despite encouraging …
Adaptive sliding mode disturbance observer-based composite control with prescribed performance of space manipulators for target capturing
Y Zhu, J Qiao, L Guo - IEEE Transactions on Industrial …, 2018 - ieeexplore.ieee.org
The requirements for the control performances of space manipulators, especially for the
stability and accuracy of the attitude control systems of the base spacecrafts, are ever …
stability and accuracy of the attitude control systems of the base spacecrafts, are ever …
Sensorless PMSM drive based on stator feedforward voltage estimation improved with MRAS multiparameter estimation
In order to reduce the adverse effect of parameter variation in position sensorless speed
control of permanent magnet synchronous motor (PMSM) based on stator feedforward …
control of permanent magnet synchronous motor (PMSM) based on stator feedforward …
Sliding mode observer-based FTC for Markovian jump systems with actuator and sensor faults
This paper addresses the stabilization problem for nonlinear Markovian jump systems (MJS)
with output disturbances, actuator and sensor faults simultaneously. This kind of plants are …
with output disturbances, actuator and sensor faults simultaneously. This kind of plants are …
Event‐triggered scheme for fault detection and isolation of non‐linear system with time‐varying delay
In this article, we investigate a new way of dealing with fault detection and isolation (FDI) for
a class of delayed non‐linear systems with an event‐triggered mechanism (ETM). This …
a class of delayed non‐linear systems with an event‐triggered mechanism (ETM). This …
Command filter-based adaptive neural tracking controller design for uncertain switched nonlinear output-constrained systems
In this paper, a new adaptive approximation-based tracking controller design approach is
developed for a class of uncertain nonlinear switched lower-triangular systems with an …
developed for a class of uncertain nonlinear switched lower-triangular systems with an …
Data-driven diagnosis of cervical cancer with support vector machine-based approaches
W Wu, H Zhou - IEEE Access, 2017 - ieeexplore.ieee.org
Cervical cancer, as the fourth most common cause of death from cancer among women, has
no symptoms in the early stage. There are few methods to diagnose cervical cancer …
no symptoms in the early stage. There are few methods to diagnose cervical cancer …
A dynamic proportional-integral observer-based nonlinear fault-tolerant controller design for nonlinear system with partially unknown dynamic
J Han, X Liu, X Wei, S Sun - IEEE transactions on systems, man …, 2021 - ieeexplore.ieee.org
For the nonlinear system with partially unknown dynamic, the problems of fault estimation
and fault-tolerant control are considered. A novel adaptive observer is designed to …
and fault-tolerant control are considered. A novel adaptive observer is designed to …
Adaptive adjustable dimension observer based fault estimation for switched fuzzy systems with unmeasurable premise variables
This paper focuses on the sensor fault estimation problem for a kind of switched nonlinear
systems. A novel fault estimation observer design method is proposed, which can …
systems. A novel fault estimation observer design method is proposed, which can …
A comprehensive review of the evolution of networked control system technology and its future potentials
Networked control systems (NCSs) are attracting the attention of control system engineers.
The NCS has created a paradigm shift in control system technology. An NCS consists of …
The NCS has created a paradigm shift in control system technology. An NCS consists of …