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On the use of low-pass filters in high-gain observers

Abstract : To address the well-known noise sensitivity problems associated with high-gain observers, we insert a low-pass filter on the measurement channel. Considering nonlinear plants in observability canonical form, we first motivate an architecture where the output error is filtered by a linear system parametrized by its arbitrary order and a scalar positive gain. Our main result establishes an exponential finite gain bound for the estimation error, from the measurement noise, this gain being dependent on the high-gain and filter parameters. We also prove bounds depending on the filter parameters characterizing improved high-frequency gains from the measurement noise to the estimation error. The proposed construction is shown to behave desirably in numerical simulations.
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https://hal.archives-ouvertes.fr/hal-03105613
Contributor : Daniele Astolfi <>
Submitted on : Monday, January 11, 2021 - 11:03:15 AM
Last modification on : Tuesday, February 2, 2021 - 3:14:08 AM

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Daniele Astolfi, Luca Zaccarian, Marc Jungers. On the use of low-pass filters in high-gain observers. Systems and Control Letters, Elsevier, 2021, 148, pp.104856. ⟨10.1016/j.sysconle.2020.104856⟩. ⟨hal-03105613⟩

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