Integral quadratic constraints for delayed nonlinear and parameter-varying systems

Harald Pfifer, Peter Seiler

Research output: Contribution to journalArticlepeer-review

32 Scopus citations

Abstract

The stability and performance of nonlinear and linear parameter varying (LPV) time delayed systems are analyzed. First, the input/output behavior of the time delay operator is bounded in the frequency domain by integral quadratic constraints (IQCs). A simple geometric interpretation is used to derive new IQCs for both constant and varying delays. Second, the performance of nonlinear and LPV delayed systems is bounded using dissipation inequalities that incorporate IQCs. The nonlinear or LPV part of the system is treated directly in the analysis and not bounded by IQCs. This step makes use of recent results that show, under mild technical conditions, that an IQC has an equivalent representation as a finite-horizon time-domain constraint. A numerical example with a nonlinear delayed system is provided to demonstrate the effectiveness of the method.

Original languageEnglish (US)
Pages (from-to)36-43
Number of pages8
JournalAutomatica
Volume56
DOIs
StatePublished - Jun 1 2015

Bibliographical note

Funding Information:
This work was supported by the NASA Grant No. NRA NNX12AM55A entitled “Analytical Validation Tools for Safety Critical Systems Under Loss-of-Control Conditions”, Dr. C. Belcastro technical monitor. This work was also supported by the National Science Foundation Grant No. NSF-CMMI-1254129 entitled “CAREER: Probabilistic Tools for High Reliability Monitoring and Control of Wind Farms”.

Publisher Copyright:
© 2015 Elsevier Ltd. All rights reserved.

Keywords

  • Nonlinear systems
  • Stability analysis
  • Time delay

Fingerprint

Dive into the research topics of 'Integral quadratic constraints for delayed nonlinear and parameter-varying systems'. Together they form a unique fingerprint.

Cite this