Graphical Nonlinear System Analysis
Thomas Chaffey, Fulvio Forni, Rodolphe Sepulchre

TL;DR
This paper introduces a graphical method using Scaled Relative Graphs (SRGs) to analyze the input-output properties and robustness of nonlinear feedback systems, extending classical control tools.
Contribution
It develops a novel graphical analysis framework for nonlinear systems using SRGs, generalizing Nyquist diagrams for nonlinear operators.
Findings
SRGs provide a visual tool for nonlinear system analysis
Distances between SRGs indicate robustness levels
The method extends classical control analysis to nonlinear feedback systems
Abstract
We use the recently introduced concept of a Scaled Relative Graph (SRG) to develop a graphical analysis of input-output properties of feedback systems. The SRG of a nonlinear operator generalizes the Nyquist diagram of an LTI system. In the spirit of classical control theory, important robustness indicators of nonlinear feedback systems are measured as distances between SRGs.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
