On the Convergence of Re-Centered Chen-Fliess Series

Chen-Fliess functional series provide a representation for a large class of nonlinear input-output systems. Like any infinite series, however, their applicability is limited by their radii of convergence. The goal of this paper is to present a computationally feasible method to re-center a Chen-Fliess series in order to expand its time horizon. It extends existing results in two ways. First, it takes a simpler combinatorial approach to the re-centering formula that draws directly on the analogous re-centering problem for Taylor series. Second, a convergence analysis is presented for the re-centered series. This information can be used to compute a lower bound on the radius of convergence for the output function and an estimate of the series truncation error. The method is demonstrated by simulation on a steering problem for a car-trailer steering system.

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Publication Details

Journal
IEEE Control Systems Letters
Published
2025-01-01
DOI
https://doi.org/10.1109/lcsys.2025.3569197
Primary Topic
Meromorphic and Entire Functions
Type
article
Field-Weighted Citation Impact
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article

On the Convergence of Re-Centered Chen-Fliess Series

Luis A. Duffaut Espinosa, Farnaz Boudaghi, W. Steven Gray
IEEE Control Systems Letters
Meromorphic and Entire Functions
article

On the Convergence of Re-Centered Chen-Fliess Series

Luis A. Duffaut Espinosa, Farnaz Boudaghi, W. Steven Gray
article en

Abstract

Chen-Fliess functional series provide a representation for a large class of nonlinear input-output systems. Like any infinite series, however, their applicability is limited by their radii of convergence. The goal of this paper is to present a computationally feasible method to re-center a Chen-Fliess series in order to expand its time horizon. It extends existing results in two ways. First, it takes a simpler combinatorial approach to the re-centering formula that draws directly on the analogous re-centering problem for Taylor series. Second, a convergence analysis is presented for the re-centered series. This information can be used to compute a lower bound on the radius of convergence for the output function and an estimate of the series truncation error. The method is demonstrated by simulation on a steering problem for a car-trailer steering system.

IEEE Control Systems LettersVol. 9
University of Vermont (US), Old Dominion University (US)
Reduced inequalities
Openalex Percentile: Top 85%
Meromorphic and Entire Functions
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