English

Representation and Stability Analysis of PDE-ODE Coupled Systems

Optimization and Control 2018-12-21 v3

Abstract

In this work, we present a scalable Linear Matrix Inequality (LMI) based framework to verify the stability of a set of linear Partial Differential Equations (PDEs) in one spatial dimension coupled with a set of Ordinary Differential Equations (ODEs) via input-output based interconnection. Our approach extends the newly developed state space representation and stability analysis of coupled PDEs that allows parametrizing the Lyapunov function on L2L_2 with multipliers and integral operators using polynomial kernels of semi-separable class. In particular, under arbitrary well-posed boundary conditions, we define the linear operator inequalities on Rn×L2\mathbb{R}^n \times L_2 and cast the stability condition as a feasibility problem constrained by LMIs. In this framework, no discretization or approximation is required to verify the stability conditions of PDE-ODE coupled systems. The developed algorithm has been implemented in MATLAB where the stability of example PDE-ODE coupled systems are verified.

Keywords

Cite

@article{arxiv.1812.07186,
  title  = {Representation and Stability Analysis of PDE-ODE Coupled Systems},
  author = {Amritam Das and Sachin Shivakumar and Siep Weiland and Matthew Peet},
  journal= {arXiv preprint arXiv:1812.07186},
  year   = {2018}
}
R2 v1 2026-06-23T06:45:36.400Z