Generalized observer forms for discrete-time nonlinear systems

The paper addresses the problem of transforming single-output discrete-time state equations into the generalized observer form, which comprises a linear observable component and a nonlinear injection term, depending on the inputs, output, and a finite number of their known past values. The intrinsic necessary and sufficient transformability conditions are provided, under two mild assumptions, in terms of a certain vector field, defined by the system output and its past values. The first assumption requires the state transition map to be invertible with respect to the state variable, and the second requires the constructibility rank condition to be satisfied. The algorithm is presented to find the required parametrized state transformation. The generalized observer form can be applied, under mild conditions, to also jointly estimate the states and disturbances. Two examples illustrate the theory.

Authors

Publication Details

Journal
Proceedings of the Estonian Academy of Sciences
Published
2026-04-27
DOI
https://doi.org/10.3176/proc.2026.2.05
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
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article

Generalized observer forms for discrete-time nonlinear systems

Vadim Kaparin, Ewa Pawłuszewicz, Tanel Mullari, Arvo Kaldmäe et al.
Proceedings of the Estonian Academy of Sciences
Adaptive Control of Nonlinear Systems
article

Generalized observer forms for discrete-time nonlinear systems

Vadim Kaparin, Ewa Pawłuszewicz, Tanel Mullari, Arvo Kaldmäe, Maris Tõnso, Ülle Kotta
article en

Abstract

The paper addresses the problem of transforming single-output discrete-time state equations into the generalized observer form, which comprises a linear observable component and a nonlinear injection term, depending on the inputs, output, and a finite number of their known past values. The intrinsic necessary and sufficient transformability conditions are provided, under two mild assumptions, in terms of a certain vector field, defined by the system output and its past values. The first assumption requires the state transition map to be invertible with respect to the state variable, and the second requires the constructibility rank condition to be satisfied. The algorithm is presented to find the required parametrized state transformation. The generalized observer form can be applied, under mild conditions, to also jointly estimate the states and disturbances. Two examples illustrate the theory.

Proceedings of the Estonian Academy of SciencesVol. 75(2)
Openalex Percentile: Top 11%
Adaptive Control of Nonlinear Systems
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