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

doi:10.1088/1674-1056/ac0ee9

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: 14010002@qq.com

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

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