Computation of Robust Controllers using Symbolic-Numeric Methods

This paper proposes a new heuristic to synthesize m - 1 order H ∞ -controllers for m -order SISO linear systems. Combining a reformulation of the standard H ∞ -synthesis problem in terms of real solutions of a multivariate polynomial system with modern symbolic-numeric methods, such as the Rational Univariate Representation and numerical root isolation, we show how to compute a m - 1 order H ∞ -controller and the suboptimal robust radius for low-order systems. Finally, we compare the proposed algorithm with McFarlane’s algorithm on a few standard examples.

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Publication Details

Journal
IFAC-PapersOnLine
Published
2025-01-01
DOI
https://doi.org/10.1016/j.ifacol.2025.09.573
Primary Topic
Stability and Control of Uncertain Systems
Type
article
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article

Computation of Robust Controllers using Symbolic-Numeric Methods

Arnaud Quadrat, Antoine Courteau
IFAC-PapersOnLine
Stability and Control of Uncertain Systems
article

Computation of Robust Controllers using Symbolic-Numeric Methods

Arnaud Quadrat, Antoine Courteau
article en

Abstract

This paper proposes a new heuristic to synthesize m - 1 order H ∞ -controllers for m -order SISO linear systems. Combining a reformulation of the standard H ∞ -synthesis problem in terms of real solutions of a multivariate polynomial system with modern symbolic-numeric methods, such as the Rational Univariate Representation and numerical root isolation, we show how to compute a m - 1 order H ∞ -controller and the suboptimal robust radius for low-order systems. Finally, we compare the proposed algorithm with McFarlane’s algorithm on a few standard examples.

IFAC-PapersOnLineVol. 59(12)
Centre National de la Recherche Scientifique (FR), Université Paris Cité (FR), Sorbonne Université (FR), Safran Electronics (Canada) (CA)
Openalex Percentile: Top 65%
Stability and Control of Uncertain Systems
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