Adaptive Event-triggered Anti-windup Compensation Control for a Class of Input Saturated Systems

LI Hong chao; DENG Hui min; LIU Jiao; JIANG Qian cheng

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Adaptive Event-triggered Anti-windup Compensation Control for a Class of Input Saturated Systems

更新时间：2026-08-31

- Adaptive Event-triggered Anti-windup Compensation Control for a Class of Input Saturated Systems
- Vol. 28, Issue 6, Pages: 130-137(2023)
- 作者机构：
  
  河北工业大学人工智能与数据科学学院,天津,300400
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP13;N94
- Published：2023
- 稿件说明：
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LI Hong chao, DENG Hui min, LIU Jiao, et al. Adaptive Event-triggered Anti-windup Compensation Control for a Class of Input Saturated Systems[J]. 2023, 28(6): 130-137.
DOI：

LI Hong chao, DENG Hui min, LIU Jiao, et al. Adaptive Event-triggered Anti-windup Compensation Control for a Class of Input Saturated Systems[J]. 2023, 28(6): 130-137. DOI：

摘要

针对输入饱和特性降低系统性能的问题

采用抗饱和补偿器改善系统性能。为了节约网络通信资源

建立了一种新颖的含有时变参数的自适应事件触发机制

该自适应事件触发机制可用于系统状态不可直接测得的情况

且相比于具有固定参数的相关型事件触发条件

可以节约更多的网络通信资源。建立了一个新的包含阈值函数变化率与指数项的 Lyapunov 函数

采用 Lyapunov 稳定性分析方法

给出了饱和系统渐近稳定的充分条件。通过构造优化问题实现了饱和系统的最大吸引域估计 ;通过计算最小事件触发时刻间隔排除了Zeno 现象 ;通过仿真算例验证了理论结果的有效性。

Abstract

For the problem of the system performance degradation caused by input saturation

anti-windup compensator is applied to improve the performance. In order to save the network communication resources

a novel adaptive event-triggered mechanism with time-varying parameters is formulated

which can be applied to the situation where the system state cannot be measured directly. Moreover

this event-triggered mechanism can save more network communication resources compared with related event-triggered condition that has fixed parameters. A new Lyapunov function containing the rate of threshold function and exponential term is constructed

and sufficient conditions for asymptotic stability of saturated system are derived by using Lyapunov stability analysis method. An optimization problem is formulated to maximize the estimated domain of attraction for the saturated system. The minimum inter-event time interval is calculated to avoid Zeno behavior. The effectiveness of the theoretical results is verified by simulation example.

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