Finite-time Contraction Stability of Linear Stochastic Parabolic Distributed Parameter Systems with Time-varying Delay

This paper deals with the problem of finite-time contraction stability (FTCS) for a linear stochastic parabolic distributed parameter system with time-varying delay. We construct a Lyapunov-Krasovskii (L-K) function and utilize linear matrix inequalities (LMIs) to give the sufficient conditions for FTCS of this system in mean-square sense. Furthermore, the state feedback controller is designed to achieve FTCS of the corresponding closed-loop system in mean-square sense according to the given sufficient conditions. Finally, a simulation example is given to verify the validity of the results.

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Publication Details

Published
2025-05-17
DOI
https://doi.org/10.1109/yac66630.2025.11149863
Primary Topic
Fractional Differential Equations Solutions
Type
article
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article

Finite-time Contraction Stability of Linear Stochastic Parabolic Distributed Parameter Systems with Time-varying Delay

Fractional Differential Equations Solutions
article

Finite-time Contraction Stability of Linear Stochastic Parabolic Distributed Parameter Systems with Time-varying Delay

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Abstract

This paper deals with the problem of finite-time contraction stability (FTCS) for a linear stochastic parabolic distributed parameter system with time-varying delay. We construct a Lyapunov-Krasovskii (L-K) function and utilize linear matrix inequalities (LMIs) to give the sufficient conditions for FTCS of this system in mean-square sense. Furthermore, the state feedback controller is designed to achieve FTCS of the corresponding closed-loop system in mean-square sense according to the given sufficient conditions. Finally, a simulation example is given to verify the validity of the results.

Guangxi University of Science and Technology (CN)
Openalex Percentile: Top 45%
Fractional Differential Equations Solutions
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Finite-time Contraction Stability of Linear Stochastic Parabolic Distributed Parameter Systems with Time-varying Delay · (2025) | TGRS Research Map | TGRS