Selected Estimation Strategies for Fault Diagnosis of Nonlinear Systems
From MaRDI portal
Publication:5237331
DOI10.1007/978-3-030-17728-7_11zbMath1425.93272OpenAlexW2949464731MaRDI QIDQ5237331
Publication date: 17 October 2019
Published in: Fault Diagnosis of Dynamic Systems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-3-030-17728-7_11
Reliability, availability, maintenance, inspection in operations research (90B25) Nonlinear systems in control theory (93C10) Estimation and detection in stochastic control theory (93E10)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Robust observer-based fault estimation and accommodation of discrete-time piecewise linear systems
- Fault diagnosis and fault-tolerant control strategies for non-linear systems. Analytical and soft computing approaches
- Fault-tolerant control systems. Design and practical applications
- Unbiased minimum-variance input and state estimation for linear discrete-time systems
- Modelling and estimation strategies for fault diagnosis of non-linear systems. From analytical to soft computing approaches.
- A note on observer design for one-sided Lipschitz nonlinear systems
- Fault diagnosis of a class of nonlinear uncertain systems with Lipschitz nonlinearities using adaptive estimation
- Two-stage Kalman estimator with unknown exogenous inputs
- Unbiased minimum variance estimation for systems with unknown exogenous inputs
- Robust fault detection based on observers for bilinear systems
- Active fault tolerant control systems. Stochastic analysis and synthesis.
- Fault detection, isolation and estimation for Takagi-Sugeno nonlinear systems
- Robust fault estimation and compensation for LPV systems under actuator and sensor faults
- On the identifiability and distinguishability of nonlinear parametric models
- Observers for a class of Lipschitz systems with extension to \(H_{\infty }\) performance analysis
- On the observer design in discrete-time
- Design of state estimators for uncertain linear systems using quadratic boundedness
- An LMI approach to robust fault estimation for a class of nonlinear systems
- An unscented Kalman filter in designing dynamic GMDH neural networks for robust fault detection
- An H ∞-suboptimal fault detection filter for bilinear systems
- Fault-Diagnosis Applications
- Nonlinear sliding mode high-gain observers for fault estimation
- Robust stability and stabilization of discrete-time non-linear systems: The LMI approach
- Observers for Lipschitz non-linear systems
- A class of nonlinear observers for discrete-time systems with parametric uncertainty
- Robust fault estimation of uncertain systems using an LMI-based approach
- LMI optimization approach to robustH∞observer design and static output feedback stabilization for discrete-time nonlinear uncertain systems
- Fuzzy identification of systems and its applications to modeling and control
- An observer design for linear systems with unknown inputs
- Design of observers for linear systems with unknown inputs
- Observing the states of systems with unmeasurable disturbances
- Observer design for linear systems with unknown inputs
- Existence and design of observers for nonlinear systems: Relation to distance to unobservability
- Observers for Lipschitz nonlinear systems
- Optimal filtering for systems with unknown inputs
- A strong tracking extended Kalman observer for nonlinear discrete-time systems
- Observer-based approach to fault detection and isolation for nonlinear systems
- A geometric approach to nonlinear fault detection and isolation
- Design of Disturbance Decoupled Observer for Bilinear Systems
- Genetic programming based approaches to identification and fault diagnosis of non-linear dynamic systems
- Design of unknown input observers and robust fault detection filters
- A bilinear fault detection observer and its application to a hydraulic drive system
- Design of proportional-integral observer for unknown input descriptor systems
- Diagnosis and Fault-Tolerant Control
- Novel optimal recursive filter for state and fault estimation of linear stochastic systems with unknown disturbances
- Observing the state of non-linear dynamic systems
- State bounding with ellipsoidal set description of the uncertainty
- H ∞ synthesis of unknown input observers for non-linear Lipschitz systems
This page was built for publication: Selected Estimation Strategies for Fault Diagnosis of Nonlinear Systems