Stability of Stochastically Switched and Stochastically Time-Delayed Systems

TL;DR

This paper introduces the concept of patient first-mean stability in switched systems, ensuring stability even with time-delays, and provides simple criteria to verify this property, aiding robust system design.

Contribution

It defines patient first-mean stability for switched systems and offers a simple, verifiable criterion to ensure stability despite time-delays, which is a novel contribution.

Findings

Patient first-mean stability is stronger than first-mean stability.

The paper provides a sufficient criterion for patient first-mean stability.

Examples demonstrate the simplicity and effectiveness of the proposed criteria.

Abstract

In this paper we introduce the notion of a patient first-mean stable system. Such systems are switched systems that are first-mean stable meaning that they converge to a globally attracting fixed point on average. They are also patient so that they do not lose their first-mean stability when time-delays are introduced into the system. As time-delays are, in general, a source of instability and poor performance patient first-mean stability is a much stronger condition than first-mean stability. This notion of patient stability allows one to design systems that cannot be destabilized via time-delays. It also significantly reduces the difficulty of modeling such systems since in patient systems time-delays can, to a large extent, be safely ignored. The paper's main focus is on giving a sufficient criteria under which a system is patient first-mean stable and we give a number of examples that demonstrate the simplicity of this criteria.