Synthesis of Variable Gain Robust State Observer for a Class of Uncertain Nonlinear Systems

This paper proposes a new variable gain robust state observer for a class of uncertain nonlinear systems. The variable gain robust state observer proposed in this paper consists of fixed observer gain matrices and nonlinear modification functions which are determined by appropriate updating rules. It is shown that sufficient conditions for the existence of the proposed variable gain robust state observer can be reduced to solvability of Linear Matrix Inequalities (LMIs). Finally, we give a simple numerical example.

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Publication Details

Journal
DETSOC Transactions on Industry Applications
Published
2024-09-19
DOI
https://doi.org/10.63481/detsoctia.2024.3
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
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article

Synthesis of Variable Gain Robust State Observer for a Class of Uncertain Nonlinear Systems

K. Hirasawa, Hidetoshi Oya, Daiki Asada, Shunya Nagai
DETSOC Transactions on Industry Applications
Adaptive Control of Nonlinear Systems
article

Synthesis of Variable Gain Robust State Observer for a Class of Uncertain Nonlinear Systems

K. Hirasawa, Hidetoshi Oya, Daiki Asada, Shunya Nagai
article en

Abstract

This paper proposes a new variable gain robust state observer for a class of uncertain nonlinear systems. The variable gain robust state observer proposed in this paper consists of fixed observer gain matrices and nonlinear modification functions which are determined by appropriate updating rules. It is shown that sufficient conditions for the existence of the proposed variable gain robust state observer can be reduced to solvability of Linear Matrix Inequalities (LMIs). Finally, we give a simple numerical example.

DETSOC Transactions on Industry Applications
Tokyo City University (JP)
Openalex Percentile: Top 64%
Adaptive Control of Nonlinear Systems
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