通过事件触发方法实现不确定网络线性系统的量化反馈积分滑模控制

Xinggui Zhao, Bo Meng, Zhen Wang
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引用次数: 0

摘要

本文研究了不确定网络线性系统的量化事件触发(ET)积分滑模(ISM,SM)控制器的设计问题。首先,本文提出了一种仅使用量化 ET 状态构建的新型 ISM 曲面,并将其应用于控制器的设计。本文中的量化 ET ISM 曲面将 t0 至 t 的积分划分为相邻 ET 间隔之和,并用量化 ET 状态取代 ET 状态。其次,根据状态误差和量化 ET SM 误差,构建了新的 ET 条件,以决定是否更新当前控制信号。第三,本文证明了在 "放大 "和 "缩小 "阶段分别存在最小事件间时间,避免了芝诺现象。最后,为了证明所提方法的有效性,本文给出了两个比较仿真结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantized feedback integral sliding mode control for uncertain networked linear systems via event-triggered approach.

This paper investigates the design problem of quantized event-triggered (ET) integral sliding mode (ISM, SM) controller for uncertain networked linear systems. Firstly, this paper proposes a novel ISM surface constructed using only quantized ET states and applied to the design of the controller. The quantized ET ISM surface in this paper divides the integrals from t0 to t into the sum of adjacent ET intervals and replaces ET states with quantized ET states. Secondly, based on state error and quantized ET SM error, novel ET conditions are constructed to decide whether to update the current control signal or not. Thirdly, this paper proves the existence of minimum inter-event times under "zoom-out" and "zoom-in" phases respectively, avoiding Zeno phenomenon. Finally, to prove the validity of the proposed method, two comparative simulation results are given.

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