Book ChapterDOI
Nonlinear observers for fault detection and isolation
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This article is published in Lecture Notes in Control and Information Sciences.The article was published on 1999-01-01. It has received 41 citations till now. The article focuses on the topics: Fault detection and isolation & Observer (quantum physics).read more
Citations
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On the robust fault detection via a sliding mode disturbance observer
TL;DR: In this paper, a fault detection filter is designed for non-linear systems, where the conditions for the existence of a solution to the nonlinear FPRG are not satisfied.
Journal ArticleDOI
Current Developments in the Theory of FDI
TL;DR: Current developments in the FDI theory are reviewed and the description of different fault diagnosis methods are described, including approaches using computational intelligence techniques.
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A GMDH neural network-based approach to robust fault diagnosis : Application to the DAMADICS benchmark problem
TL;DR: It is shown that the algorithms proposed to tackle the above tasks make it possible to obtain a suitably accurate mathematical description of the system that allows developing a technique of generating an adaptive threshold that permits robust fault detection.
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Technical Communique: High-gain observation with disturbance attenuation and application to robust fault detection
TL;DR: Here the use of high-gain observer techniques is inspected, with a purpose of attenuation of disturbances rather than exact decoupling, and their possible use in fault detection is discussed.
References
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Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy—a survey and some new results
TL;DR: In this article, the authors review the state of the art of fault detection and isolation in automatic processes using analytical redundancy, and present some new results with emphasis on the latest attempts to achieve robustness with respect to modelling errors.
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Paper: A survey of design methods for failure detection in dynamic systems
TL;DR: This paper surveys a number of methods for the detection of abrupt changes in stochastic dynamical systems, focusing on the class of linear systems, but the basic concepts carry over to other classes of systems.
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Process fault detection based on modeling and estimation methods-A survey
TL;DR: This contribution presents a brief summary of some basic fault detection methods, followed by a description of suitable parameter estimation methods for continuous-time models.
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A simple observer for nonlinear systems applications to bioreactors
TL;DR: In this paper, an observer for nonlinear systems is constructed under rather general technical assumptions (the fact that some functions are globally Lipschitz) and a tentative application to biological systems is described.
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A stabilization algorithm for a class of uncertain linear systems
TL;DR: In this paper, the authors present an algorithm for the stabilization of a class of uncertain linear systems, which is described by state equations which depend on time-varying unknown-but-bounded uncertain parameters.