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Sensor bias fault diagnosis in a class of nonlinear systems

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1 Author(s)
Vemuri, A.T. ; Div. of Engine & Vehicle Res., Southwest Res. Inst., San Antonio, TX, USA

This note describes a robust sensor bias fault diagnosis architecture for dynamic systems represented by a class of nonlinear discrete-time models. The nonlinearity in the system nominal model is assumed to be a function of inputs and outputs only. Specifically, this note uses adaptive techniques to estimate an unknown sensor bias in the presence of modeling uncertainties. A simulation example is presented to illustrate the methodology. The robustness, sensitivity and stability properties of the bias fault diagnosis architecture are rigorously analyzed

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Automatic Control, IEEE Transactions on  (Volume:46 ,  Issue: 6 )