Evidence map›Paper›PMID 40610553›Full record

ArticleScientific reports2025

Robust dynamic event-triggered sliding mode control for lateral dynamics of intelligent electric vehicle.

Zhi Liu, Xing Chu, Suqin Mao, Pengfei Ding, Shouhu Cheng, Jilin Lei, Shaowen Yao

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Zhi LiuZhengzhou Electromechanical Engineering Research Institute, Zhengzhou, 450052, China.
Xing ChuSchool of Software, Yunnan University, Kunming, 650500, China. chx@ynu.edu.cn.
Suqin MaoYunnan Communications Vocational and Technical College, Kunming, 650500, China.
Pengfei DingZhengzhou Electromechanical Engineering Research Institute, Zhengzhou, 450052, China.
Shouhu ChengZhengzhou Electromechanical Engineering Research Institute, Zhengzhou, 450052, China.
Jilin LeiSchool of Intelligent Transportation, Yunnan Vocational College of Transportation, Kunming, 650300, China.
Shaowen YaoSchool of Software, Yunnan University, Kunming, 650500, China.

Funding

Key Laboratory in Software Engineering of Yunnan Province 2020SE317National Natural Science Foundation of China 12202377Natural Science Foundation of Yunnan Province 202301AT070407"Xingdian Talent Support Program" Young Talents Foundation C619300A020
6 · The paper itself

Abstract

This paper proposes a dynamic event triggering mechanism whose triggering characteristics can be designed for a robust sliding mode controller to solve the lateral motion control problem of intelligent electric vehicle in the presence of bounded matched disturbances. The motivation of current work mainly aims to alleviate unnecessary computing and communication of energy-constrained vehicle control systems by a large margin while ensuring its stability and robustness. The main contributions of the paper are summarized as follows. We design a continuous-time robust sliding mode controller which is proved to have the capability to effectively suppress the bounded matched disturbances. We derive a new dynamic event triggering rule, under which the positive minimum value and the evolution characteristics of the inter-event times are able to be designed. We analyze the stability via the Lyapunov theory, exclude Zeno behavior and prove that the semi-global robust event-separation property holds for the above constructed event-triggered control system theoretically. We numerically evaluate the effectiveness of our theoretical results and the advantages of the proposed method which is highlighted in an overtaking case for the intelligent electric vehicle. To the best of our knowledge, this is the first paper which studies lateral motion control of vehicle with the consideration of the robustness not only for the stability but also for the positive minimum inter-event times.

Indexed as

DisturbancesDynamic event triggering mechanismIntelligent electric vehicleInter-event timesLateral dynamicsSliding mode control

Identifiers

PMID40610553
PMCPMC12229547

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