Robust H∞ state estimation for a class of complex networks with dynamic event-triggered scheme against hybrid attacks

doi:10.1088/1674-1056/ac0ee9

中国物理B ›› 2022, Vol. 31 ›› Issue (2): 20503-020503.doi: 10.1088/1674-1056/ac0ee9

Robust H_∞ state estimation for a class of complex networks with dynamic event-triggered scheme against hybrid attacks

Yahan Deng(邓雅瀚), Zhongkai Mo(莫中凯)^†, and Hongqian Lu(陆宏谦)

School of Intelligent Systems Engineering, Guangxi City Vocational University, Chongzuo 532200, China

收稿日期:2021-05-23 修回日期:2021-06-18 接受日期:2021-06-28 出版日期:2022-01-13 发布日期:2022-01-13
通讯作者: Zhongkai Mo E-mail:14010002@qq.com

Robust H_∞ state estimation for a class of complex networks with dynamic event-triggered scheme against hybrid attacks

Yahan Deng(邓雅瀚), Zhongkai Mo(莫中凯)^†, and Hongqian Lu(陆宏谦)

School of Intelligent Systems Engineering, Guangxi City Vocational University, Chongzuo 532200, China

Received:2021-05-23 Revised:2021-06-18 Accepted:2021-06-28 Online:2022-01-13 Published:2022-01-13
Contact: Zhongkai Mo E-mail:14010002@qq.com

摘要/Abstract

摘要： We investigate the dynamic event-triggered state estimation for uncertain complex networks with hybrid delays suffering from both deception attacks and denial-of-service attacks. Firstly, the effects of time-varying delays and finite-distributed delays are considered during data transmission between nodes. Secondly, a dynamic event-triggered scheme (ETS) is introduced to reduce the frequency of data transmission between sensors and estimators. Thirdly, by considering the discussed plant, dynamic ETS, state estimator, and hybrid attacks into a unified framework, this framework is transferred into a novel dynamical model. Furthermore, with the help of Lyapunov stability theory and linear matrix inequality techniques, sufficient condition to ensure that the system is exponentially stable and satisfies H_∞ performance constraints is obtained, and the design algorithm for estimator gains is given. Finally, two numerical examples verify the effectiveness of the proposed method.

关键词: dynamic event-triggered scheme, hybrid attacks, complex networks, state estimation

Abstract: We investigate the dynamic event-triggered state estimation for uncertain complex networks with hybrid delays suffering from both deception attacks and denial-of-service attacks. Firstly, the effects of time-varying delays and finite-distributed delays are considered during data transmission between nodes. Secondly, a dynamic event-triggered scheme (ETS) is introduced to reduce the frequency of data transmission between sensors and estimators. Thirdly, by considering the discussed plant, dynamic ETS, state estimator, and hybrid attacks into a unified framework, this framework is transferred into a novel dynamical model. Furthermore, with the help of Lyapunov stability theory and linear matrix inequality techniques, sufficient condition to ensure that the system is exponentially stable and satisfies H_∞ performance constraints is obtained, and the design algorithm for estimator gains is given. Finally, two numerical examples verify the effectiveness of the proposed method.

Key words: dynamic event-triggered scheme, hybrid attacks, complex networks, state estimation

中图分类号: (Synchronization; coupled oscillators)

05.45.Xt

02.30.Yy (Control theory) 07.05.Dz (Control systems)

Yahan Deng(邓雅瀚), Zhongkai Mo(莫中凯), and Hongqian Lu(陆宏谦). Robust H_∞ state estimation for a class of complex networks with dynamic event-triggered scheme against hybrid attacks[J]. 中国物理B, 2022, 31(2): 20503-020503.

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Robust H_∞ state estimation for a class of complex networks with dynamic event-triggered scheme against hybrid attacks

Robust H_∞ state estimation for a class of complex networks with dynamic event-triggered scheme against hybrid attacks

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