Input-Output Pseudospectral Bounds for Transient Analysis of Networked and High-Order Systems

TL;DR

This paper introduces a novel pseudospectral approach to analyze transient behaviors in large networked and high-order systems, providing bounds on system transients relevant for control and stability analysis.

Contribution

It extends pseudospectral theorems to an input-output framework, enabling characterization of transients in complex systems like vehicle formations.

Findings

Derived new upper and lower bounds on system transients.

Applied the theory to vehicle platooning and string stability.

Demonstrated how to quantify unfavorable transients from input-output pseudospectra.

Abstract

Motivated by a need to characterize transient behaviors in large network systems in terms of relevant signal norms and worst-case input scenarios, we propose a novel approach based on existing theory for matrix pseudospectra. We extend pseudospectral theorems, pertaining to matrix exponentials, to an input-output setting, where matrix exponentials are pre- and post-multiplied by input and output matrices. Analyzing the resulting transfer functions in the complex plane allows us to state new upper and lower bounds on system transients. These are useful for higher-order matrix differential equations, and specifically control of double-integrator networks such as vehicle formation problems. Therefore, we illustrate the theory's applicability to the problem of vehicle platooning and the question of string stability, and show how unfavorable transient behaviors can be discerned and quantified directly from the input-output pseudospectra.