Exponential Decay Rate Conditions for Uncertain Linear Systems Using Integral Quadratic Constraints

Bin Hu, Peter Seiler

Research output: Contribution to journalArticlepeer-review


This technical note develops linear matrix inequality (LMI) conditions to test whether an uncertain linear system is exponentially stable with a given decay rate α. These new α- exponential stability tests are derived for an uncertain system described by an interconnection of a nominal linear time-invariant system and a 'troublesome' perturbation. The perturbation can contain uncertain parameters, time delays, or nonlinearities. This technical note presents two key contributions. First, α- exponential stability of the uncertain LTI system is shown to be equivalent to (internal) linear stability of a related scaled system. This enables derivation of α- exponential stability tests from linear stability tests using integral quadratic constraints (IQCs). This connection requires IQCs to be constructed for a scaled perturbation operator. The second contribution is a list of IQCs derived for the scaled perturbation using the detailed structure of the original perturbation. Finally, connections between the proposed approach and related work are discussed.

Original languageEnglish (US)
Article number7393522
Pages (from-to)3631-3637
Number of pages7
JournalIEEE Transactions on Automatic Control
Issue number11
StatePublished - Nov 2016
Externally publishedYes


  • Exponential convergence rate
  • integral quadratic constraint
  • robustness

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering


Dive into the research topics of 'Exponential Decay Rate Conditions for Uncertain Linear Systems Using Integral Quadratic Constraints'. Together they form a unique fingerprint.

Cite this