Converse Lyapunov Results for Switched Systems with Lower and Upper Bounds on Switching Intervals
Matteo Della Rossa

TL;DR
This paper establishes converse Lyapunov theorems for continuous-time switched nonlinear systems with bounded switching intervals, offering a complete stability characterization and practical numerical verification methods.
Contribution
It extends multiple Lyapunov function theory to systems with switching interval bounds, providing converse results and semidefinite programming approaches for stability analysis.
Findings
Complete characterization of uniform stability for systems with bounded switching intervals
Equivalence of exponential stability and Lyapunov norms in switched linear systems
Numerical schemes for stability verification using semidefinite programming
Abstract
The topic of this manuscript is the stability analysis of continuous-time switched nonlinear systems with constraints on the admissible switching signals. Our particular focus lies in considering signals characterized by upper and lower bounds on the length of the switching intervals. We adapt and extend the existing theory of multiple Lyapunov functions, providing converse results and thus a complete characterization of uniform stability for this class of systems. We specify our results in the context of switched linear systems, providing the equivalence of exponential stability and the existence of multiple Lyapunov norms. By restricting the class of candidate Lyapunov functions to the set of quadratic functions, we are able to provide semidefinite-optimization-based numerical schemes to check the proposed conditions. We provide numerical examples to illustrate our approach and…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStability and Control of Uncertain Systems · Stability and Controllability of Differential Equations · Advanced Control Systems Optimization
