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A Frequency Domain Approach to Bounding Riccati Equation Perturbations
Abstract
The discrete algebraic Riccati equation (DARE) is used to solve for the optimal feedback gain in linear-quadratic regulator (LQR) control of discrete-time systems. In this letter, we consider the effect of perturbations to the LQR data on the DARE solutions. We present a new frequency domain approach to derive an explicit bound on the difference in DARE solutions under such perturbations. Our bounds are similar to other results that have recently appeared in the literature with two distinctions. First, we use a frequency domain constant that measures the degree of closed-loop stability, in contrast to other results that use a time domain measure. Second, we start from weaker detectability assumptions on the LQR state cost matrix.
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BibTeX
@misc{newton2026frequency,
title = {{A Frequency Domain Approach to Bounding Riccati Equation Perturbations}},
author = {Rachel Newton and Laura Balzano and Peter Seiler},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2609.38515},
eprint = {2609.38515},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2609.38515},
}
RIS
TY - UNPB
TI - A Frequency Domain Approach to Bounding Riccati Equation Perturbations
AU - Rachel Newton
AU - Laura Balzano
AU - Peter Seiler
PY - 2026
DA - 2026/09/29
PB - arXiv
DO - 10.48550/arxiv.2609.38515
UR - https://arxiv.org/abs/2609.38515
AB - The discrete algebraic Riccati equation (DARE) is used to solve for the optimal feedback gain in linear-quadratic regulator (LQR) control of discrete-time systems. In this letter, we consider the effect of perturbations to the LQR data on the DARE solutions. We present a new frequency domain approach to derive an explicit bound on the difference in DARE solutions under such perturbations. Our bounds are similar to other results that have recently appeared in the literature with two distinctions. First, we use a frequency domain constant that measures the degree of closed-loop stability, in contrast to other results that use a time domain measure. Second, we start from weaker detectability assumptions on the LQR state cost matrix.
ER -