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Conference Papers Year : 2016

Observer Design for Triangular Nonlinear Systems Using Delayed Sampled-Output Measurements

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Abstract

The problem of observer design is addressed for a class of triangular nonlinear systems in presence of output measurement sampling and time-delay. A major difficulty with the considered nonlinear systems is that the state matrix is dependent on the "undelayed output signal" which is not accessible to measurement, making existing observers inapplicable. A new observer is designed where the effects of time-delay and sampling are compensated for using an output predictor. Defined by a couple of first-order ordinary differential equations (ODEs), the present predictor turns out to be much simpler compared to previous predictors involving output and state predictors. Using the small gain technique, sufficient conditions for the observer to be exponentially convergent are established in terms of the maximum time-delay and sampling interval.
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Dates and versions

hal-02332335 , version 1 (17-01-2022)

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Attribution - NonCommercial - CC BY 4.0

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Mohamed Kahelras, Tarek Ahmed-Ali, Theo Folin, Fouad Giri, Françoise Lamnabhi-Lagarrigue. Observer Design for Triangular Nonlinear Systems Using Delayed Sampled-Output Measurements. 55th IEEE Conference on Decision and Control (CDC), Dec 2016, Las Vegas, United States. pp.1447-1451, ⟨10.1109/CDC.2016.7798470⟩. ⟨hal-02332335⟩
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