A new structural framework for parity equation-based failure detection and isolation
Automatica (Journal of IFAC)
A bilinear fault detection observer
Automatica (Journal of IFAC)
Nonlinear Control Systems
Ideals, Varieties, and Algorithms: An Introduction to Computational Algebraic Geometry and Commutative Algebra, 3/e (Undergraduate Texts in Mathematics)
Brief Paper: Robust fault detection based on observers for bilinear systems
Automatica (Journal of IFAC)
Analytical redundancy relations for fault detection and isolation in algebraic dynamic systems
Automatica (Journal of IFAC)
Application of a model based fault isolation method for nonlinear dynamic systems
ETFA'09 Proceedings of the 14th IEEE international conference on Emerging technologies & factory automation
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The study of fault detection and isolation for nonlinear dynamic systems has been receiving significant attention. Up to now few literatures pay attention to the speed of fault isolation. However, it is a crucial problem for the design of the fault-tolerant control (FTC) of the nonlinear dynamic systems. In this article a new method of fault isolation for nonlinear dynamic systems is proposed. The method is based on the monotonous characteristic of the prediction error of the observer with respect to singular parameter difference between the system and the observer. The proposed method has the advantage of the methods based on adaptive observers that fits a large kind of nonlinear dynamic systems, while it does not have their disadvantage that take a long time to identify the system parameter: Therefore the fault isolation of this method is quicker. The performance of the method is illustrated by simulation results using a nonlinear dynamic model of an alcoholic fermentation process.