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基于事件触发方法的不确定网络化线性系统的量化反馈积分滑模控制

Quantized feedback integral sliding mode control for uncertain networked linear systems via event-triggered approach.

作者信息

Zhao Xinggui, Meng Bo, Wang Zhen

机构信息

College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao, 266590, China.

College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao, 266590, China.

出版信息

ISA Trans. 2024 Dec;155:82-91. doi: 10.1016/j.isatra.2024.09.025. Epub 2024 Sep 28.

Abstract

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 t 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.

摘要

本文研究了不确定网络化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状态构造的新型ISM滑模面,并将其应用于控制器设计。本文中的量化ET ISM滑模面将从t到t的积分划分为相邻ET区间的和,并用量化ET状态代替ET状态。其次,基于状态误差和量化ET滑模误差,构造了新颖的事件触发条件,以决定是否更新当前控制信号。第三,本文分别证明了在“缩小”和“放大”阶段存在最小事件间隔时间,避免了芝诺现象。最后,为了证明所提方法的有效性,给出了两个对比仿真结果。

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