Robustness of Exponential Stability of a Class of Switched Linear Systems with State Delays
Nguyen Khoa Son, Le Van Ngoc

TL;DR
This paper analyzes the robustness of exponential stability in switched linear systems with delays, introducing stability radius bounds and providing computable measures under certain positivity and delay conditions.
Contribution
It introduces the structured stability radius for switched systems with delays and derives bounds using common Lyapunov functions, enhancing robustness analysis methods.
Findings
Derived bounds for the stability radius of delayed switched systems.
Provided computable measures for systems with positive linear dynamics.
Illustrated results with examples demonstrating the method's applicability.
Abstract
This paper investigates the robustness of exponential stability of a class of switched systems described by linear functional differential equations under arbitrary switching. We will measure the stability robustness of such a system, subject to parameter affine perturbations of its constituent subsystems matrices, by introducing the notion of structured stability radius. The lower bounds and the upper bounds for this radius are established under the assumption that certain associated positive linear systems upper bounding the given subsystems have a common linear copositive Lyapunov function. In the case of switched positive linear systems with discrete multiple delays or distributed delay the obtained results yield some tractably computable bounds for the stability radius. Examples are given to illustrate the proposed method.
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 Differential Equations and Dynamical Systems
