基于车辆的新型轮胎系统的自适应事件触发控制

IF 3.2 Q2 AUTOMATION & CONTROL SYSTEMS Systems Science & Control Engineering Pub Date : 2021-07-27 DOI:10.1080/21642583.2021.1954105
Ruitong Wu, Kewen Li
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引用次数: 1

摘要

本文首先研究了一种基于车辆的新型轮胎系统的自适应事件触发控制方案。将复杂的系统转化为非线性模型进行研究。为了有效提高系统的数据传输能力,减少通信带宽,提出了改进的事件触发机制(ETM)。为了克服传统自适应反步递归设计过程中存在的“复杂度爆炸”问题,在控制设计过程中引入了动态曲面控制技术。该控制方案基于Lyapunov稳定性理论,保证了闭环系统中所有变量都是半全局一致最终有界的。最后,仿真结果验证了所提控制方案的合理性和有效性。
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Adaptive event-triggered control for new type tyre systems based on vehicles
ABSTRACT In this article, an adaptive event-triggered control scheme is first investigated for new type tyre systems based on vehicle. The intricate systems are transformed into a nonlinear model to research. The improved event-triggered mechanism (ETM) is proposed to enhance effectively the data transmission capacity of the systems and reduce the communication bandwidth. For the sake of conquering the problem of ‘explosion of complexity’ in traditional adaptive backstepping recursive design process, the dynamic surface control (DSC) technique is introduced in control design process. Based on the Lyapunov stability theory, the developed control scheme guarantees all the variables in the closed-loop system are semi-globally uniformly ultimately bounded (SGUUB). Finally, the simulation results verify the rationality and effectiveness of the proposed control scheme.
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来源期刊
Systems Science & Control Engineering
Systems Science & Control Engineering AUTOMATION & CONTROL SYSTEMS-
CiteScore
9.50
自引率
2.40%
发文量
70
审稿时长
29 weeks
期刊介绍: Systems Science & Control Engineering is a world-leading fully open access journal covering all areas of theoretical and applied systems science and control engineering. The journal encourages the submission of original articles, reviews and short communications in areas including, but not limited to: · artificial intelligence · complex systems · complex networks · control theory · control applications · cybernetics · dynamical systems theory · operations research · systems biology · systems dynamics · systems ecology · systems engineering · systems psychology · systems theory
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