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Authors
Zhenhai Li; Imad M. Jaimoukha; Emmanuel Mazars

Digital Object Identifier (DOI)
10.3182/20060829-4-CN-2909.00177

Page Numbers:
1062-1067

Index Terms
fault detection,robust estimation,uncertain linear systems,model reference,matrix inequality

Abstract
Model-based robust fault diagnosis aims to attenuate influence from model uncertainties on the residual while maintaining fault detection and isolation performance. In this paper, we consider robust residual generation for integral quadratic constrained (IQC) uncertain systems. The design consists of two steps. A reference model, incorporated into a robust H∞ filtering framework, is set up to represent desired detection performance such as disturbance attenuation. Then, the extended robust H∞ filtering problem is solved by constructing a nonlinear matrix inequality (NLMI). Linearization of the NLMI results in an tractable LMI solution, where an illustrative example follows to verify the algorithm.

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