Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Preprints and Working Papers
  4. Necessary and Sufficient Conditions for Incremental Stability of Feedback Systems Using Integral Quadratic Constraints
 
preprint

Necessary and Sufficient Conditions for Incremental Stability of Feedback Systems Using Integral Quadratic Constraints

Qin, Zhaoming  
•
Karimi, Alireza  
December 30, 2025

This paper addresses the robust incremental stability of feedback interconnections between a linear timeinvariant (LTI) plant and a nonlinear dynamic uncertainty. Traditional integral quadratic constraint (IQC) methods rely on homotopy arguments and require stability over a continuous path of uncertainties, leading to conservatism. We propose a novel criterion that avoids this limitation by leveraging a robust version of Finsler's lemma and a global inverse function theorem. The result is a set of necessary and sufficient conditions for robust incremental stability based solely on local linearizations, enabling certification for disconnected or non-star-shaped uncertainty sets. For specific uncertainty classes, such as LTI operators and memoryless nonlinearities with symmetric Jacobians, the conditions simplify and reduce computational burden. We demonstrate the effectiveness of the approach on time-delay systems with uncertain bounded delays. Numerical results show tight, non-conservative bounds where standard IQC methods fail.

  • Files
  • Details
  • Metrics
Loading...
Thumbnail Image
Name

Necessary_and_Sufficient_Conditions_for_Incremental_Stability.pdf

Type

Main Document

Version

Submitted version (Preprint)

Access type

openaccess

License Condition

N/A

Size

1.15 MB

Format

Adobe PDF

Checksum (MD5)

bf03e1bef4f68e1b95c05fb96fd1af71

Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés