Fault accommodation of a class of multivariable nonlinear dynamical systems using a learning approach
- 1 May 2001
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Automatic Control
- Vol. 46 (5) , 736-742
- https://doi.org/10.1109/9.920792
Abstract
Presents a learning approach for accommodating faults occurring in a class of nonlinear multi-input-multi-output (MIMO) dynamical systems. Changes in the system dynamics due to a fault are modeled as unknown nonlinear functions of the measurable state variables. The closed-loop stability of the robust fault accommodation scheme is established using Lyapunov redesign methods. A simulation example, based on a model of a jet engine compression system, is used to illustrate the fault accommodation design procedure.Keywords
This publication has 13 references indexed in Scilit:
- Learning approach to nonlinear fault diagnosis: detectability analysisIEEE Transactions on Automatic Control, 2000
- Robust Model-Based Fault Diagnosis for Dynamic SystemsPublished by Springer Nature ,1999
- Incipient fault diagnosis of dynamical systems using online approximatorsIEEE Transactions on Automatic Control, 1998
- Actuator fault diagnosis: an adaptive observer-based techniqueIEEE Transactions on Automatic Control, 1996
- Automated fault detection and accommodation: a learning systems approachIEEE Transactions on Systems, Man, and Cybernetics, 1995
- Using learning techniques to accommodate unanticipated faultsIEEE Control Systems, 1993
- Application of feedback linearization method in a digital restructurable flight control systemJournal of Guidance, Control, and Dynamics, 1993
- Design of restructurable flight control systems using feedback linearizationJournal of Guidance, Control, and Dynamics, 1991
- Survey of model-based failure detection and isolation in complex plantsIEEE Control Systems Magazine, 1988
- Process fault detection based on modeling and estimation methods—A surveyAutomatica, 1984