Stability results for MIMO LTI systems via Scaled Relative Graphs
Eder Baron-Prada, Adolfo Anta, Alberto Padoan, Florian Dörfler
TL;DR
This paper addresses the challenge of stability analysis for MIMO LTI feedback systems by proposing Scaled Relative Graphs (SRGs) as a decoupled, frequency-wise stability tool. By formulating a Generalized Feedback Stability Theorem (GFT) and specializing it to LTI systems, the authors show that stability can be certified via per-frequency SRG intersections, offering a visual and data-driven alternative to the classical Generalized Nyquist Criterion (GNC). They prove the equivalence of SRG-based conditions with the GNC under suitable chord-property and invertibility assumptions and demonstrate the method on several numerical examples, including high-order MIMO systems. The SRG approach provides intuitive insight, reduces conservative coupling, and is amenable to data-driven estimation, potentially enabling more scalable stability analysis for complex MIMO systems.
Abstract
This paper proposes a new approach for stability analysis of multi-input, multi-output (MIMO) feedback systems through Scaled Relative Graphs (SRGs). Unlike traditional methods, such as the Generalized Nyquist Criterion (GNC), which relies on a coupled analysis that requires the multiplication of models, our approach enables the evaluation of system stability in a decoupled fashion and provides an intuitive, visual representation of system behavior. Our results provide conditions for certifying the stability of feedback MIMO Linear Time-Invariant (LTI) systems.
