Identification of faults in nonlinear dynamical systems and their sensors based on sliding mode observers
From MaRDI portal
Publication:2139478
DOI10.1134/S0005117922020059zbMath1489.93020OpenAlexW4223561846MaRDI QIDQ2139478
A. V. Zuev, O. Sergiyenko, A. E. Shumskii, Alexey Zhirabok
Publication date: 17 May 2022
Published in: Automation and Remote Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1134/s0005117922020059
Related Items (2)
Fault identification: an approach based on optimal control methods ⋮ Jordan canonical form in diagnosis and estimation problems
Cites Work
- Fault diagnosis and fault-tolerant control strategies for non-linear systems. Analytical and soft computing approaches
- Diagnosis of linear systems based on sliding mode observers
- Diagnosis of linear dynamic systems: an approach based on sliding mode observers
- Diagnosis of linear dynamic systems by the nonparametric method
- State and fault estimation for a class of non-infinitely observable descriptor systems using two sliding mode observers in cascade
- Fault reconstruction based on sliding mode observer for nonlinear systems
- Sliding mode observers for fault detection and isolation
- Fault detection in nonlinear systems via linear methods
- Features of designing combined force/position manipulator control systems
- Uncontrollable perturbations of nonlinear dynamic systems: estimation on moving modes
- Nonlinear robust fault reconstruction and estimation using a sliding mode observer
- Simultaneous Actuator and Sensor Faults Reconstruction Based on Robust Sliding Mode Observer for a Class of Nonlinear Systems
- Super-Twisting Algorithm in presence of time and state dependent perturbations
- Sliding mode observers for robust detection and reconstruction of actuator and sensor faults
- Diagnosis and Fault-Tolerant Control
- Observation of linear systems with unknown inputs via high-order sliding-modes
- Fault diagnosis in linear systems via sliding mode observers
This page was built for publication: Identification of faults in nonlinear dynamical systems and their sensors based on sliding mode observers