Discrete-time Convergent Nonlinear Systems

Marc Jungers (Corresponding author), Mohammad Fahim Shakib, Nathan van de Wouw

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Abstract

The convergence property of discrete-time nonlinear systems is studied in this paper. The main result provides a Lyapunov-like characterization of the convergence property based on two distinct Lyapunov-like functions. These two functions are associated with the incremental stability property and the existence of a compact positively invariant set, which together guarantee the existence of a well-defined, bounded, and unique steady-state solution. The links with the conditions available in the recent literature are discussed. These generic results are subsequently used to derive constructive conditions for the class of discrete-time Lur'e-type systems. Such systems consist of an interconnection between a linear system and a static nonlinearity that satisfies cone-bounded (incremental) sector conditions. In this framework, the Lyapunov-like functions that characterize convergence are determined by solving a set of linear matrix inequalities. Several classes of Lyapunov-like functions are considered: both Lyapunov-Lur'e-type functions and quadratic functions. A numerical example illustrates the applicability of the results.

Original languageEnglish
Article number10478552
Pages (from-to)6731-6745
Number of pages15
JournalIEEE Transactions on Automatic Control
Volume69
Issue number10
Early online date25 Mar 2024
DOIs
Publication statusPublished - Oct 2024

Funding

The work of Marc Jungers was supported in part by project ANR HANDY under Grant ANR-18-CE40-0010. The work of Mohammad Fahim Shakib was supported in part by the EPSRC grant \"Model Reduction from Data\"under Grant EP/W005557.

Keywords

  • Asymptotic stability
  • Convergence
  • Convergent systems
  • discrete-time Lyapunov Lur'e functions
  • discrete-time systems
  • Linear matrix inequalities
  • Lur'e systems
  • Lyapunov methods
  • Nonlinear systems
  • Stability analysis
  • Stability criteria
  • Steady-state
  • Symmetric matrices

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