Representation of PDE Systems with Delay and Stability Analysis using Convex Optimization -- Extended Version

TL;DR

This paper introduces a method to represent delayed PDE systems as coupled PIEs, enabling stability analysis through convex optimization, and demonstrates its application to PDEs with delays in states and boundary conditions.

Contribution

It extends PIE representation to delayed PDEs and develops a convex optimization framework for stability analysis using PIETOOLS.

Findings

PIE representation of delayed PDE systems is feasible.

Stability analysis can be performed via convex optimization.

Method successfully applied to PDEs with delays in states and boundary conditions.

Abstract

Partial Integral Equations (PIEs) have been used to represent both systems with delay and systems of Partial Differential Equations (PDEs) in one or two spatial dimensions. In this paper, we show that these results can be combined to obtain a PIE representation of any suitably well-posed 1D PDE model with constant delay. In particular, we represent these delayed PDE systems as coupled systems of 1D and 2D PDEs, obtaining a PIE representation of both subsystems. Taking the feedback interconnection of these PIE subsystems, we then obtain a 2D PIE representation of the 1D PDE with delay. Next, based on the PIE representation, we formulate the problem of stability analysis as convex optimization of positive operators which can be solved using the PIETOOLS software suite. We apply the result to PDE examples with delay in the state and boundary conditions.