Finite time stabilization for multi-path cyber physical system with time-varying parameters

This paper investigates the finite time stabilization for multi-path cyber physical systems with random denial-of-service (DoS) attacks and time-varying parameters. Unlike previous research, we use auxiliary systems to establish sufficient conditions for finite time stability in closed-loop multi-path CPSs with various delays and parameters, based on a detailed analysis of the state transition matrix. We also present a condition derived from the Lyapunov function and propose an LMI-based method for designing a non-fragile controller. Finally, we apply these theoretical contributions to a stock investment model to demonstrate their validity.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/cvci63518.2024.10830219
Primary Topic
Smart Grid Security and Resilience
Type
article
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article

Finite time stabilization for multi-path cyber physical system with time-varying parameters

Ge Guo, Cheng Tan, Jianying Di, Qinglong Zhang
Smart Grid Security and Resilience
article

Finite time stabilization for multi-path cyber physical system with time-varying parameters

Ge Guo, Cheng Tan, Jianying Di, Qinglong Zhang
article en

Abstract

This paper investigates the finite time stabilization for multi-path cyber physical systems with random denial-of-service (DoS) attacks and time-varying parameters. Unlike previous research, we use auxiliary systems to establish sufficient conditions for finite time stability in closed-loop multi-path CPSs with various delays and parameters, based on a detailed analysis of the state transition matrix. We also present a condition derived from the Lyapunov function and propose an LMI-based method for designing a non-fragile controller. Finally, we apply these theoretical contributions to a stock investment model to demonstrate their validity.

Qufu Normal University (CN), State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University (CN)
Openalex Percentile: Top 69%
Smart Grid Security and Resilience
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