A Pseudo-Formal Linearization for Nonlinear Time-Varying Systems via Chebyshev Expansion and Nonlinear Observer

This paper is concerned with a pseudo-formal linearization for nonlinear time-varying systems exploiting Chebyshev expansion, and a nonlinear observer design as an application of this method. A given nonlinear time-varying system can be transformed into several augmented linear time-varying systems by a pseudo-formal linearization based on Chebyshev expansion. And then we unite them into a single linear time-varying system by an automatic choosing function. As an application of the method, a nonlinear observer is synthesized. Numerical experiments show the effectiveness of the method.

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Publication Details

Journal
Journal of Signal Processing
Published
2025-02-28
DOI
https://doi.org/10.2299/jsp.29.37
Citations
1
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
1.21
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article

A Pseudo-Formal Linearization for Nonlinear Time-Varying Systems via Chebyshev Expansion and Nonlinear Observer

Hitoshi Takata, Kazuo Komatsu
1 citations
Journal of Signal Processing
Adaptive Control of Nonlinear Systems
1.21
article

A Pseudo-Formal Linearization for Nonlinear Time-Varying Systems via Chebyshev Expansion and Nonlinear Observer

Hitoshi Takata, Kazuo Komatsu
article en
1 citations

Abstract

This paper is concerned with a pseudo-formal linearization for nonlinear time-varying systems exploiting Chebyshev expansion, and a nonlinear observer design as an application of this method. A given nonlinear time-varying system can be transformed into several augmented linear time-varying systems by a pseudo-formal linearization based on Chebyshev expansion. And then we unite them into a single linear time-varying system by an automatic choosing function. As an application of the method, a nonlinear observer is synthesized. Numerical experiments show the effectiveness of the method.

Journal of Signal ProcessingVol. 29(2)
Kagoshima University (JP), National Institute of Technology, Kumamoto College (JP)
Openalex Percentile: Top 24%
Adaptive Control of Nonlinear Systems
1.21
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