Time-Transformation-Based Analysis of Systems with Periodic Delay via Perturbative Expansion
Jungbae Chun, Sengiyumva Kisole, Matthew M. Peet, and Peter Seiler

TL;DR
This paper introduces a perturbative method to explicitly approximate time-transformations for analyzing the stability of systems with small periodic delays, simplifying the complex analysis of time-varying delays.
Contribution
It develops a perturbative expansion technique to compute explicit time-transformations for systems with small periodic delays, addressing the non-uniqueness and numerical challenges.
Findings
Explicit approximate time-transformations are derived for systems with small periodic delays.
The method simplifies stability analysis by converting systems to a form with constant delay.
Numerical example demonstrates the effectiveness of the approach.
Abstract
It is difficult to analyze the stability of systems with time-varying delays. One approach is to construct a time-transformation that converts the system into a form with a constant delay but with a time-varying scalar appearing in the system matrices. The stability of this transformed system can then be analyzed using methods to bound the effect of the time-varying scalar. One issue is that this transformation is non-unique and requires the solution of an Abel equation. A specific time-transformation typically must be computed numerically. We address this issue by computing an explicit, although approximate, time-transformation for systems where the delay has a constant plus small periodic term. We use a perturbative expansion to construct our explicit solutions. We provide a simple numerical example to illustrate the approach. We also demonstrate the use of this time-transformation to…
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Taxonomy
TopicsNeural Networks Stability and Synchronization · Stability and Control of Uncertain Systems · Nonlinear Dynamics and Pattern Formation
