Lower bounds on complexity of Lyapunov functions for switched linear systems

Amir Ali Ahmadi, Raphaël M. Jungers

Research output: Contribution to journalArticle

3 Scopus citations

Abstract

We show that for any positive integer d, there are families of switched linear systems–in fixed dimension and defined by two matrices only–that are stable under arbitrary switching but do not admit (i) a polynomial Lyapunov function of degree ≤d, or (ii) a polytopic Lyapunov function with ≤d facets, or (iii) a piecewise quadratic Lyapunov function with ≤d pieces. This implies that there cannot be an upper bound on the size of the linear and semidefinite programs that search for such stability certificates. Several constructive and non-constructive arguments are presented which connect our problem to known (and rather classical) results in the literature regarding the finiteness conjecture, undecidability, and non-algebraicity of the joint spectral radius. In particular, we show that existence of an extremal piecewise algebraic Lyapunov function implies the finiteness property of the optimal product, generalizing a result of Lagarias and Wang. As a corollary, we prove that the finiteness property holds for sets of matrices with an extremal Lyapunov function belonging to some of the most popular function classes in controls.

Original languageEnglish (US)
Pages (from-to)118-129
Number of pages12
JournalNonlinear Analysis: Hybrid Systems
Volume21
DOIs
StatePublished - Aug 1 2016

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Analysis
  • Computer Science Applications

Keywords

  • Convex optimization for Lyapunov analysis
  • Linear difference inclusions
  • Stability of switched systems
  • The finiteness conjecture of the joint spectral radius

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