具有未知测量灵敏度的前馈非线性系统的周期性事件触发输出反馈调节

IF 3.2 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Wenjie Zhang, Qingrong Liu, Xianfu Zhang
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引用次数: 0

摘要

本文探讨了通过周期性事件触发输出反馈控制对一类前馈非线性系统进行全局调节的问题。特别是,所考虑的系统存在参数不确定性和未知测量灵敏度,这就需要在事件触发框架内整合先进的补偿策略。为此,设计了一种时变增益来解决不确定的非线性问题以及采样误差问题。随后,基于设计参数的微妙选择,构建了一个新颖的周期性事件触发输出反馈控制器。值得注意的是,所提出的控制方案能够避免对系统行为的持续监控,并保证所有闭环系统状态都是全局有界的,并最终收敛为零。最后,我们给出了一个实际例子来说明主要结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Periodic event-triggered output feedback regulation for feedforward nonlinear systems with unknown measurement sensitivity

This article addresses the global regulation by periodic event-triggered output feedback control for a class of feedforward nonlinear systems. Particularly, the considered systems suffer from parameter uncertainties and unknown measurement sensitivity, which entail integrating advanced compensation strategies within the event-triggered framework. To this end, a time-varying gain is devised to tackle uncertain nonlinearities as well as the sampling error. Subsequently, a novel periodic event-triggered output feedback controller is constructed based on the delicate choice of design parameters. Notably, the proposed control scheme is able to avoid the continuous monitoring of the system behavior, and guarantee that all closed-loop system states are globally bounded and ultimately converge to zero. Finally, a practical example is given to illustrate the main results.

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来源期刊
International Journal of Robust and Nonlinear Control
International Journal of Robust and Nonlinear Control 工程技术-工程:电子与电气
CiteScore
6.70
自引率
20.50%
发文量
505
审稿时长
2.7 months
期刊介绍: Papers that do not include an element of robust or nonlinear control and estimation theory will not be considered by the journal, and all papers will be expected to include significant novel content. The focus of the journal is on model based control design approaches rather than heuristic or rule based methods. Papers on neural networks will have to be of exceptional novelty to be considered for the journal.
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