Phase Robustness Analysis for Structured Perturbations in MIMO LTI Systems
The stability of interconnected linear time-invariant systems using singular values and the small gain theorem has been studied for many decades. The methods of mu-analysis and synthesis has been extensively developed to provide robustness guarantees for a plant subject to structured perturbations,...
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Main Authors | , |
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Format | Journal Article |
Language | English |
Published |
17.12.2024
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Subjects | |
Online Access | Get full text |
DOI | 10.48550/arxiv.2412.13390 |
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Summary: | The stability of interconnected linear time-invariant systems using singular
values and the small gain theorem has been studied for many decades. The
methods of mu-analysis and synthesis has been extensively developed to provide
robustness guarantees for a plant subject to structured perturbations, with
components in the structured perturbation satisfying a bound on their largest
singular value. Recent results on phase-based stability measures have led to a
counterpart of the small gain theorem, known as the small phase theorem. To
date these phase-based methods have only been used to provide stability
robustness measures for unstructured perturbations. In this paper, we define a
phase robustness metric for multivariable linear time-invariant systems in the
presence of a structured perturbation. We demonstrate its relationship to a
certain class of multiplier functions for integral quadratic constraints, and
show that a upper bound can be calculated via a linear matrix inequality
problem. When combined with robustness measures from the small gain theorem,
the new methods are able provide less conservative robustness metrics than can
be obtained via conventional mu-analysis methods. |
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DOI: | 10.48550/arxiv.2412.13390 |