Global Sampled-Data Output Feedback Stabilization for Nonlinear Systems via Intermittent Hold

IF 19.2 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Le Chang;Cheng Fu;Huanjun Zhang
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引用次数: 0

Abstract

This paper introduces a sampled-data and intermittent-hold controller for nonlinear feedforward systems. The intermittent hold allows the control signal to be held in a portion of each sampled period, which does not require the control to be persistently implemented, and thus has less control time. But, less control time degrades the performance of a continuous-time control system or even destabilizes it, especially when the holding portion is sufficiently small. To tackle this obstacle, we first introduce the notion of activating rate to describe the intermittent hold, and give the sampled-data and intermittent-hold controller based on some tuning parameters. Then it is proved that for any activating rate, these parameters can be designed to achieve the stability of the considered systems under appropriately choosing the sampling size. Finally, simulation examples are given to illustrate the effectiveness of the proposed method.
基于间歇保持的非线性系统的全局采样数据输出反馈镇定
本文介绍了一种用于非线性前馈系统的采样数据间歇保持控制器。间歇保持允许控制信号在每个采样周期的一部分保持,这不需要持续实施控制,因此具有较少的控制时间。但是,较小的控制时间会降低连续时间控制系统的性能,甚至使其不稳定,特别是当保持部分足够小时。为了解决这一问题,我们首先引入了激活率的概念来描述间歇保持,并给出了基于一些调优参数的采样数据和间歇保持控制器。然后证明了对于任何激活率,在适当选择采样大小的情况下,这些参数都可以被设计成所考虑系统的稳定性。最后,通过仿真实例验证了所提方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Ieee-Caa Journal of Automatica Sinica
Ieee-Caa Journal of Automatica Sinica Engineering-Control and Systems Engineering
CiteScore
23.50
自引率
11.00%
发文量
880
期刊介绍: The IEEE/CAA Journal of Automatica Sinica is a reputable journal that publishes high-quality papers in English on original theoretical/experimental research and development in the field of automation. The journal covers a wide range of topics including automatic control, artificial intelligence and intelligent control, systems theory and engineering, pattern recognition and intelligent systems, automation engineering and applications, information processing and information systems, network-based automation, robotics, sensing and measurement, and navigation, guidance, and control. Additionally, the journal is abstracted/indexed in several prominent databases including SCIE (Science Citation Index Expanded), EI (Engineering Index), Inspec, Scopus, SCImago, DBLP, CNKI (China National Knowledge Infrastructure), CSCD (Chinese Science Citation Database), and IEEE Xplore.
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