Symmetry Is Almost All You Need: Robust Stability with Uncertainty Induced by Symmetric SRG Regions

TL;DR

This paper develops a novel framework using the Davis-Wielandt shell to analyze robust stability of feedback systems with uncertainties modeled by symmetric SRG regions, revealing new necessary and sufficient conditions.

Contribution

Introduces a new approach combining Davis-Wielandt shells with SRGs to characterize robust stability under symmetric and asymmetric uncertainties in feedback systems.

Findings

Necessary and sufficient conditions for matrix robust nonsingularity with symmetric SRG regions.

Recovery of small gain and small angle conditions as stability criteria.

Visualisation tool: θ-angle-gain profile for feedback robustness analysis.

Abstract

This paper investigates the robust stability problem of a feedback system in the presence of uncertainties induced by graphical regions in the plane where the scaled relative graphs (SRGs) reside. Our main results are developed using a novel and intuitive concept, the Davis-Wielandt shell, together with its connection to SRGs and related variants. We first study a matrix robust nonsingularity (MRN) problem for two types of graphically induced uncertainty sets: one with prior information on $\theta$ and one without. In the former case, we show that, whenever the uncertainty-inducing region is mirror symmetric about the $\theta$-axis, the separation between a specific variant of the SRG and the region provides a necessary and sufficient condition for MRN. When the region is asymmetric, the necessity generally fails. This recovers the necessity of the small gain condition, and reveals the necessity of small angle conditions and sectored-disc conditions at the matrix level. In the latter case, we show that an additional $\theta$-circular connectivity property is required to obtain necessary and sufficient conditions. Building on these MRN results, we then derive sufficient conditions for robust stability of multi-input multi-output (MIMO) linear time-invariant (LTI) systems under frequencywise symmetric uncertainties. In addition, connections with existing system characteristics such as disc-boundedness are discussed and exploited to obtain state-space characterisations for angle-bounded and mixed gain-angle-bounded systems. Based on these results, we construct a $\theta$-angle-gain profile of a system that provides an intuitive visualisation of its feedback robustness against conic and sectorial uncertainties.