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Chin. Phys. B, 2022, Vol. 31(2): 020503    DOI: 10.1088/1674-1056/ac0ee9
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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
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.
Keywords:  dynamic event-triggered scheme      hybrid attacks      complex networks      state estimation  
Received:  23 May 2021      Revised:  18 June 2021      Accepted manuscript online:  28 June 2021
PACS:  05.45.Xt (Synchronization; coupled oscillators)  
  02.30.Yy (Control theory)  
  07.05.Dz (Control systems)  
Corresponding Authors:  Zhongkai Mo     E-mail:

Cite this article: 

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 2022 Chin. Phys. B 31 020503

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