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Stable Rational Approximation of PDE Transfer Functions with H∞ Error Bounds

Abstract

Transfer functions of Partial Differential Equations (PDEs) are irrational and difficult to obtain. Unlike for rational transfer functions, only a few methods are available for the control and analysis of irrational transfer functions. Thus, for robust analysis and control of PDEs, we need to use a rational approximation of the transfer function, preferably with provable H∞ error bounds. In this paper, we extend Krylov subspace model reduction to infinite-dimensional systems modeled by Partial Integral Equations (PIEs) -- an equivalent representation of PDEs. First, we propose a state transformation of the PIE system that allows us to compute a controllability matrix. Then, to obtain a rational approximation, we project the PIE states onto the vector space spanned by the truncated controllability matrix. Next, we show that sufficient conditions for exponential stability and well-posedness of the PIE system guarantee the exponential stability of the reduced-order system and provide constructive finite-frequency H∞ error bounds. Finally, we provide four illustrative numerical examples to demonstrate the performance of the proposed method.

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BibTeX
@misc{talitckii2026stable,
  title = {{Stable Rational Approximation of PDE Transfer Functions with $H_\infty$ Error Bounds}},
  author = {Aleksandr Talitckii and Matthew M. Peet},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.08497},
  eprint = {2610.08497},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.08497},
}
RIS
TY  - UNPB
TI  - Stable Rational Approximation of PDE Transfer Functions with H_∞ Error Bounds
AU  - Aleksandr Talitckii
AU  - Matthew M. Peet
PY  - 2026
DA  - 2026/10/06
PB  - arXiv
DO  - 10.48550/arxiv.2610.08497
UR  - https://arxiv.org/abs/2610.08497
AB  - Transfer functions of Partial Differential Equations (PDEs) are irrational and difficult to obtain. Unlike for rational transfer functions, only a few methods are available for the control and analysis of irrational transfer functions. Thus, for robust analysis and control of PDEs, we need to use a rational approximation of the transfer function, preferably with provable H_∞ error bounds. In this paper, we extend Krylov subspace model reduction to infinite-dimensional systems modeled by Partial Integral Equations (PIEs) -- an equivalent representation of PDEs. First, we propose a state transformation of the PIE system that allows us to compute a controllability matrix. Then, to obtain a rational approximation, we project the PIE states onto the vector space spanned by the truncated controllability matrix. Next, we show that sufficient conditions for exponential stability and well-posedness of the PIE system guarantee the exponential stability of the reduced-order system and provide constructive finite-frequency H_∞ error bounds. Finally, we provide four illustrative numerical examples to demonstrate the performance of the proposed method.
ER  -