Dynamic Event‐Triggered‐Based Finite‐Time Control for Vehicle Suspension Systems With Imperfect Communication Channels

ABSTRACT Within the framework of privacy protection, this paper explores the issue of finite‐time dynamic event‐triggered fuzzy control for vehicle suspension systems (VSSs) with imperfect communication channels. Firstly, a privacy protection mechanism is introduced into the VSSs to protect the privacy of data, which avoids data being accessed or misused without authorization, thereby enhancing the safety of the driving experience. Secondly, under the privacy protection mechanism, a novel dynamic event‐triggered mechanism (DETM) is proposed for VSSs. Compared to existing DETMs, the designed DETM not only adjusts the threshold based on real‐time environmental changes and achieves better system performance while reducing data transmissions but also reduces the risk of data leakage during transmission. Then, a finite‐time state encrypted fuzzy controller subject to imperfect communication channels is designed, which ensures that the closed‐loop system is finite‐time bounded. Simultaneously, the requirements for the VSSs are also met. Finally, a simulation example is provided to illustrate the effectiveness of the designed control approach.

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Institutions

Publication Details

Journal
International Journal of Adaptive Control and Signal Processing
Published
2025-03-24
DOI
https://doi.org/10.1002/acs.3999
Citations
2
Primary Topic
Stability and Control of Uncertain Systems
Type
article
Field-Weighted Citation Impact
2.43

Funders

Controls
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article

Dynamic Event‐Triggered‐Based Finite‐Time Control for Vehicle Suspension Systems With Imperfect Communication Channels

Yingnan Pan, Zhechen Zhu, Sitong Shang
2 citations
International Journal of Adaptive Control and Signal Processing
Stability and Control of Uncertain Systems
2.43
article

Dynamic Event‐Triggered‐Based Finite‐Time Control for Vehicle Suspension Systems With Imperfect Communication Channels

Yingnan Pan, Zhechen Zhu, Sitong Shang
article en
2 citations

Abstract

ABSTRACT Within the framework of privacy protection, this paper explores the issue of finite‐time dynamic event‐triggered fuzzy control for vehicle suspension systems (VSSs) with imperfect communication channels. Firstly, a privacy protection mechanism is introduced into the VSSs to protect the privacy of data, which avoids data being accessed or misused without authorization, thereby enhancing the safety of the driving experience. Secondly, under the privacy protection mechanism, a novel dynamic event‐triggered mechanism (DETM) is proposed for VSSs. Compared to existing DETMs, the designed DETM not only adjusts the threshold based on real‐time environmental changes and achieves better system performance while reducing data transmissions but also reduces the risk of data leakage during transmission. Then, a finite‐time state encrypted fuzzy controller subject to imperfect communication channels is designed, which ensures that the closed‐loop system is finite‐time bounded. Simultaneously, the requirements for the VSSs are also met. Finally, a simulation example is provided to illustrate the effectiveness of the designed control approach.

International Journal of Adaptive Control and Signal ProcessingVol. 39(6)
Bohai University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 13%
Stability and Control of Uncertain Systems
2.43
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