Stability of interconnected impulsive systems with and without time-delays using Lyapunov methods
Sergey Dashkovskiy, Michael Kosmykov, Andrii Mironchenko and, Lars Naujok

TL;DR
This paper investigates the stability of interconnected impulsive systems with and without time-delays using Lyapunov methods, providing conditions for uniform input-to-state stability and tools for constructing Lyapunov functions.
Contribution
It introduces new Lyapunov-based criteria for ISS of impulsive systems with delays and large-scale networks, including construction methods for Lyapunov functions and gains.
Findings
ISS is guaranteed under dwell-time and small-gain conditions.
Lyapunov functions for the entire network can be constructed from subsystem functions.
Theoretical results are demonstrated through illustrative examples.
Abstract
In this paper we consider input-to-state stability (ISS) of impulsive control systems with and without time-delays. We prove that if the time-delay system possesses an exponential Lyapunov-Razumikhin function or an exponential Lyapunov-Krasovskii functional, then the system is uniformly ISS provided that the average dwell-time condition is satisfied. Then, we consider large-scale networks of impulsive systems with and without time-delays and we prove that the whole network is uniformly ISS under a small-gain and a dwell-time condition. Moreover, these theorems provide us with tools to construct a Lyapunov function (for time-delay systems - a Lyapunov-Krasovskii functional or a Lyapunov-Razumikhin function) and the corresponding gains of the whole system, using the Lyapunov functions of the subsystems and the internal gains, which are linear and satisfy the small-gain condition. We…
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Taxonomy
TopicsNeural Networks Stability and Synchronization · Stability and Control of Uncertain Systems
