JZUS - Journal of Zhejiang University SCIENCE

Frontiers of Information Technology & Electronic Engineering

Accepted manuscript available online (unedited version)

Sum-based dynamic discrete event-triggered mechanism for synchronization of delayed neural networks under deception attacks

Author(s): Zhongjing YU¹, Duo ZHANG^‡², Shihan KONG¹, Deqiang OUYANG³, Hongfei LI⁴, Junzhi YU^‡¹
Affiliation(s): ¹State Key Laboratory for Turbulence and Complex Systems, Department of Advanced Manufacturing and Robotics, College of Engineering, Peking University, Beijing 100871, China; more
Corresponding email(s): duozhang92@std.uestc.edu.cn, junzhi.yu@ia.ac.cn
Key Words: Sum-based dynamic discrete event-triggered mechanism; T-S fuzzy model; Deception attack

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Zhongjing YU¹, Duo ZHANG^‡², Shihan KONG¹, Deqiang OUYANG³, Hongfei LI⁴, Junzhi YU^‡¹. Sum-based dynamic discrete event-triggered mechanism for synchronization of delayed neural networks under deception attacks[J]. Frontiers of Information Technology & Electronic Engineering,in press.https://doi.org/10.1631/FITEE.2401000

@article{title="Sum-based dynamic discrete event-triggered mechanism for synchronization of delayed neural networks under deception attacks",
author="Zhongjing YU¹, Duo ZHANG^‡², Shihan KONG¹, Deqiang OUYANG³, Hongfei LI⁴, Junzhi YU^‡¹",
journal="Frontiers of Information Technology & Electronic Engineering",
year="in press",
publisher="Zhejiang University Press & Springer",
doi="https://doi.org/10.1631/FITEE.2401000"
}

%0 Journal Article
%T Sum-based dynamic discrete event-triggered mechanism for synchronization of delayed neural networks under deception attacks
%A Zhongjing YU¹
%A Duo ZHANG^‡²
%A Shihan KONG¹
%A Deqiang OUYANG³
%A Hongfei LI⁴
%A Junzhi YU^‡¹
%J Frontiers of Information Technology & Electronic Engineering
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%D in press
%I Zhejiang University Press & Springer
doi="https://doi.org/10.1631/FITEE.2401000"

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T1 - Sum-based dynamic discrete event-triggered mechanism for synchronization of delayed neural networks under deception attacks
A1 - Zhongjing YU¹
A1 - Duo ZHANG^‡²
A1 - Shihan KONG¹
A1 - Deqiang OUYANG³
A1 - Hongfei LI⁴
A1 - Junzhi YU^‡¹
J0 - Frontiers of Information Technology & Electronic Engineering
SP -
EP -
%@ 2095-9184
Y1 - in press
PB - Zhejiang University Press & Springer
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doi="https://doi.org/10.1631/FITEE.2401000"

Abstract
Chinese Summary
Academic Network
Reviewer Comment

Abstract: This paper focuses on the design of event-triggered controllers for the synchronization of delayed T-S fuzzy neural networks (NNs) under deception attacks. The traditional event-triggered mechanism (ETM) determines the next trigger based on the current sample, resulting in network congestion. Furthermore, such methods also suffer from the issues of deception attacks and unmeasurable system states. To enhance the system stability, we adaptively detected the occurrence of events over a period of time. In addition, deception attacks are recharacterized to describe general scenarios. Specifically, the following enhancements are implemented. First, we utilized a Bernoulli process to model the occurrence of deception attacks, which can describe a variety of attack scenarios as a type of general Markov process. Second, we introduced a sum-based dynamic discrete event-triggered mechanism (SDDETM), which utilizes a combination of past sampled measurements and internal dynamic variables to determine subsequent triggering events. Finally, we incorporated a dynamic output feedback controller (DOFC) to ensure the system stability. The concurrent design of the DOFC and SDDETM parameters is achieved through the application of the cone complement linearization (CCL) algorithm. We further gave an experiment for validating the effectiveness of the algorithm.

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