Recurrent Sliding Mode-Based State Observer Design for a Subset of Nonlinear Systems

This paper introduces a novel Sliding Mode-Based Observer tailored for a specific subset of nonlinear systems of order <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\boldsymbol n$</tex> featuring Lipschitz nonlinearities. The study establishes stability conditions that ensure convergence of the estimation error (s) in finite time until order <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\boldsymbol n$</tex>, thus, providing an accurate state (s) estimation without the necessity for disturbance matching conditions. Furthermore, the study presents an extension of the scope of application of the proposed method to tackle a unique scenario characterized by a time-varying and non-invertible function of the output dynamics of the system model. The effectiveness of the proposed observer is showcased through simulation examples.

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Published
2024-12-12
DOI
https://doi.org/10.1109/icarcv63323.2024.10821653
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
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article

Recurrent Sliding Mode-Based State Observer Design for a Subset of Nonlinear Systems

Bruno Monsuez, Bhagyashri Gurjar, Gaël P. Atheupe
Adaptive Control of Nonlinear Systems
article

Recurrent Sliding Mode-Based State Observer Design for a Subset of Nonlinear Systems

Bruno Monsuez, Bhagyashri Gurjar, Gaël P. Atheupe
article en

Abstract

This paper introduces a novel Sliding Mode-Based Observer tailored for a specific subset of nonlinear systems of order <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\boldsymbol n$</tex> featuring Lipschitz nonlinearities. The study establishes stability conditions that ensure convergence of the estimation error (s) in finite time until order <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\boldsymbol n$</tex>, thus, providing an accurate state (s) estimation without the necessity for disturbance matching conditions. Furthermore, the study presents an extension of the scope of application of the proposed method to tackle a unique scenario characterized by a time-varying and non-invertible function of the output dynamics of the system model. The effectiveness of the proposed observer is showcased through simulation examples.

Renault (France) (FR), Indian Institute of Technology Bombay (IN), École Nationale Supérieure de Techniques Avancées (FR)
Openalex Percentile: Top 69%
Adaptive Control of Nonlinear Systems
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Recurrent Sliding Mode-Based State Observer Design for a Subset of Nonlinear Systems — Bruno Monsuez, Bhagyashri Gurjar, et al. · (2024) | TGRS Research Map | TGRS