For the purpose of estimating the state of a linear time-invariant system with measurements subject to outliers, we propose an observer with a saturated output injection in such a way to mitigate the effect of abnormal and isolated measurement noise on the error dynamics. Stability conditions in both the continuous-time and the discrete-time cases are derived, which ensure global exponential stability to the origin for the error dynamics. Such conditions can be expressed in terms of linear matrix inequalities, allowing for a viable design by using convex optimization. The effectiveness of the approach is illustrated by means of simulations in comparison with the Luenberger observer.

Stubborn state observers for linear time-invariant systems / Alessandri, Angelo; Zaccarian, Luca. - In: AUTOMATICA. - ISSN 0005-1098. - 88:(2018), pp. 1-9. [10.1016/j.automatica.2017.10.022]

Stubborn state observers for linear time-invariant systems

Zaccarian, Luca
2018-01-01

Abstract

For the purpose of estimating the state of a linear time-invariant system with measurements subject to outliers, we propose an observer with a saturated output injection in such a way to mitigate the effect of abnormal and isolated measurement noise on the error dynamics. Stability conditions in both the continuous-time and the discrete-time cases are derived, which ensure global exponential stability to the origin for the error dynamics. Such conditions can be expressed in terms of linear matrix inequalities, allowing for a viable design by using convex optimization. The effectiveness of the approach is illustrated by means of simulations in comparison with the Luenberger observer.
2018
Alessandri, Angelo; Zaccarian, Luca
Stubborn state observers for linear time-invariant systems / Alessandri, Angelo; Zaccarian, Luca. - In: AUTOMATICA. - ISSN 0005-1098. - 88:(2018), pp. 1-9. [10.1016/j.automatica.2017.10.022]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/230613
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