Stability and Stabilization Using Discrete-Time Feedback Control for Hybrid Stochastic Delay Systems with General Delay

Abstract. This paper develops stability and stabilization for hybrid stochastic differential delay equations (SDDEs) with general time-variable delays using the Halanay-type inequalities. First, a right-continuous version of the Halanay inequality is proved using methods different from the usual approach of proof by contradiction method. Because the Halanay inequality does not require much on the delay, boundedness and stability in mean square of hybrid SDDEs with general time delays are obtained. For stability not focusing on the equilibrium points, asymptotic stability in distribution is an appropriate criterion and has been studied extensively. For this type of stability, it is crucial to use time-homogeneous Markov processes. In this work, the problem is examined by treating delays that behave periodically. The proof is conducted using probabilistic argument, segment processes, and weaker conditions than that of the moment conditions. For a given hybrid SDDE being unstable in distribution, a feedback control based on discrete-time observations is constructed to stabilize the underlying system. For the controlled systems (hybrid SDDEs with nonconstant delays), time-homogeneous Markov processes are also identified. The use of Halanay inequality enables us to obtain the upper bound of observation duration using linear equations rather than the cumbersome exponential equations. Finally, two examples are given to demonstrate the effectiveness of our theory. It is shown that a better bound on observation duration can be achieved compared with the existing results.

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Publication Details

Journal
SIAM Journal on Control and Optimization
Published
2026-07-22
DOI
https://doi.org/10.1137/25m178256x
Primary Topic
Stability and Control of Uncertain Systems
Type
article
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article

Stability and Stabilization Using Discrete-Time Feedback Control for Hybrid Stochastic Delay Systems with General Delay

George Yin, Henglei Xu, Xuerong Mao
SIAM Journal on Control and Optimization
Stability and Control of Uncertain Systems
article

Stability and Stabilization Using Discrete-Time Feedback Control for Hybrid Stochastic Delay Systems with General Delay

George Yin, Henglei Xu, Xuerong Mao
article en

Abstract

Abstract. This paper develops stability and stabilization for hybrid stochastic differential delay equations (SDDEs) with general time-variable delays using the Halanay-type inequalities. First, a right-continuous version of the Halanay inequality is proved using methods different from the usual approach of proof by contradiction method. Because the Halanay inequality does not require much on the delay, boundedness and stability in mean square of hybrid SDDEs with general time delays are obtained. For stability not focusing on the equilibrium points, asymptotic stability in distribution is an appropriate criterion and has been studied extensively. For this type of stability, it is crucial to use time-homogeneous Markov processes. In this work, the problem is examined by treating delays that behave periodically. The proof is conducted using probabilistic argument, segment processes, and weaker conditions than that of the moment conditions. For a given hybrid SDDE being unstable in distribution, a feedback control based on discrete-time observations is constructed to stabilize the underlying system. For the controlled systems (hybrid SDDEs with nonconstant delays), time-homogeneous Markov processes are also identified. The use of Halanay inequality enables us to obtain the upper bound of observation duration using linear equations rather than the cumbersome exponential equations. Finally, two examples are given to demonstrate the effectiveness of our theory. It is shown that a better bound on observation duration can be achieved compared with the existing results.

SIAM Journal on Control and OptimizationVol. 64(4)
University of Connecticut (US), University of Strathclyde (GB)
Openalex Percentile: Top 10%
Stability and Control of Uncertain Systems
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