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 language | English |
|---|---|
| Article number | 10478552 |
| Pages (from-to) | 6731-6745 |
| Number of pages | 15 |
| Journal | IEEE Transactions on Automatic Control |
| Volume | 69 |
| Issue number | 10 |
| Early online date | 25 Mar 2024 |
| DOIs | |
| Publication status | Published - 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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