This article addresses the event-triggered output feedback control problem for steer-by-wire (SbW) systems with uncertain nonlinearity and time-varying disturbance. First, a new framework of event-triggered control systems is proposed to eliminate the jumping phenomenon of event-based control input, in which the tradeoff between saving communication resources and attenuating jumping phenomenon can be relaxed. Then, an adaptive fuzzy logic system (FLS) is developed to approximate the uncertain nonlinearity, and an adaptive FLS-based state observer is developed to estimate the augmented SbW system state, such that the unnecessary sensors can be removed. In light of the sliding mode control technique and FLS-based state observer, an adaptive event-triggered control is proposed for SbW systems, such that controller-area-network communication resources can be saved. Much significantly, the effect of observation error and event-triggered error can be counteracted by the dynamic gain technique. Furthermore, theoretical analysis based on Lyapunov stability theory is provided to verify both the observer error of state and the tracking error of the SbW system can converge to a neighborhood of the origin in finite time. Finally, simulations and experiments are given to evaluate the effectiveness and superiority of proposed methods.

中文翻译：

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具有事件触发通信的线控转向系统的自适应输出反馈控制

本文解决了具有不确定非线性和时变干扰的线控转向 (SbW) 系统的事件触发输出反馈控制问题。首先，提出了一种新的事件触发控制系统框架来消除基于事件的控制输入的跳跃现象，其中可以放松节省通信资源和衰减跳跃现象之间的权衡。然后，开发了自适应模糊逻辑系统 (FLS) 来逼近不确定的非线性，并开发基于自适应 FLS 的状态观察器来估计增强的 SbW 系统状态，从而可以去除不必要的传感器。根据滑模控制技术和基于 FLS 的状态观测器，提出了一种用于 SbW 系统的自适应事件触发控制，从而可以节省控制器局域网通信资源。非常重要的是，动态增益技术可以抵消观察误差和事件触发误差的影响。此外，还提供了基于李雅普诺夫稳定性理论的理论分析，验证了状态观测器误差和SbW系统的跟踪误差都可以在有限时间内收敛到原点邻域。最后，通过仿真和实验来评估所提出方法的有效性和优越性。提供基于李雅普诺夫稳定性理论的理论分析，验证了状态观测器误差和SbW系统的跟踪误差均能在有限时间内收敛到原点邻域。最后，通过仿真和实验来评估所提出方法的有效性和优越性。提供基于李雅普诺夫稳定性理论的理论分析，验证了状态观测器误差和SbW系统的跟踪误差均能在有限时间内收敛到原点邻域。最后，通过仿真和实验来评估所提出方法的有效性和优越性。