Asynchronous control for nonlinear switched stochastic delayed systems with weighted mode‐dependent average dwell time

Abstract This article investigates the asynchronous control for a class of nonlinear switched stochastic delayed systems. In response to this issue, the weighted mode‐dependent average dwell time is first applied to switched stochastic systems as a more general switching signal. In addition, the asynchronous phenomenon is considered to address the mismatch in practical applications, where “mismatch” means the switching of the controllers has a delay to the switching of system modes. Then by selecting new multiple Lyapunov–Krasovskii functionals, sufficient conditions for mean‐square exponential stability and an performance are derived. Finally, numerical examples are provided to illustrate the effectiveness of the proposed methods.

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Publication Details

Journal
International Journal of Robust and Nonlinear Control
Published
2024-08-05
DOI
https://doi.org/10.1002/rnc.7579
Primary Topic
Neural Networks Stability and Synchronization
Type
article
Field-Weighted Citation Impact
0.00

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Controls
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article

Asynchronous control for nonlinear switched stochastic delayed systems with weighted mode‐dependent average dwell time

Longsuo Li, Yong Chen, Бо Лю
International Journal of Robust and Nonlinear Control
Neural Networks Stability and Synchronization
article

Asynchronous control for nonlinear switched stochastic delayed systems with weighted mode‐dependent average dwell time

Longsuo Li, Yong Chen, Бо Лю
article en

Abstract

Abstract This article investigates the asynchronous control for a class of nonlinear switched stochastic delayed systems. In response to this issue, the weighted mode‐dependent average dwell time is first applied to switched stochastic systems as a more general switching signal. In addition, the asynchronous phenomenon is considered to address the mismatch in practical applications, where “mismatch” means the switching of the controllers has a delay to the switching of system modes. Then by selecting new multiple Lyapunov–Krasovskii functionals, sufficient conditions for mean‐square exponential stability and an performance are derived. Finally, numerical examples are provided to illustrate the effectiveness of the proposed methods.

International Journal of Robust and Nonlinear ControlVol. 34(17)
Harbin Institute of Technology (CN)
Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 87%
Neural Networks Stability and Synchronization
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