Decentralized Impulsive Control for Stochastic Systems Interconnected over Graphs*

This article is concerned with stability analysis and decentralized impulsive control problems for a class of interconnected stochastic systems (ISSs). The ISSs is a class of large scale systems with numbers of subunits interconnected over graphs and each subunit may subject to <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">${\it Ito}$</tex> -type noise disturbances. We first presented the related stability criteria for ISSs by using the stochastic multi-Lyapunov function. Secondly, an impulsive state feedback controller is designed to neutralize the stochastic disturbances and some instabilities caused by the interconnection among subsystems, at the same time the impulsive controller can guarantee that the closed-loop system have an ideal <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$H_{\infty}$</tex> performance. At last, numerical simulations are established to prove the validity of the proposed methods.

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Publication Details

Published
2024-11-01
DOI
https://doi.org/10.1109/cac63892.2024.10864562
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

Decentralized Impulsive Control for Stochastic Systems Interconnected over Graphs*

Hongxiao Hu, Xiaojuan Xue, Yongfei Wu, Zhengtao Ding et al.
Neural Networks Stability and Synchronization
article

Decentralized Impulsive Control for Stochastic Systems Interconnected over Graphs*

Hongxiao Hu, Xiaojuan Xue, Yongfei Wu, Zhengtao Ding, Q. L. Liu
article en

Abstract

This article is concerned with stability analysis and decentralized impulsive control problems for a class of interconnected stochastic systems (ISSs). The ISSs is a class of large scale systems with numbers of subunits interconnected over graphs and each subunit may subject to <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">${\it Ito}$</tex> -type noise disturbances. We first presented the related stability criteria for ISSs by using the stochastic multi-Lyapunov function. Secondly, an impulsive state feedback controller is designed to neutralize the stochastic disturbances and some instabilities caused by the interconnection among subsystems, at the same time the impulsive controller can guarantee that the closed-loop system have an ideal <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$H_{\infty}$</tex> performance. At last, numerical simulations are established to prove the validity of the proposed methods.

University of Shanghai for Science and Technology (CN), University of Manchester (GB), Taiyuan University of Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 68%
Neural Networks Stability and Synchronization
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