Dynamic event-triggered control for CPSs under QoS-based variable sampling approach

IF 6.3 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
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引用次数: 0

Abstract

In this article, a quality of service (QoS) dependent variable sampling dynamic event-triggered control method is designed for a cyber–physical system (CPS) with delays and packets dropout to cope with non-ideal network environments, maintain the desired control performance and improve the communication efficiency. To achieve the variable period sampling, a sampler is designed based on the QoS of the wireless network by using the delta operator discretization method. Then, a variable period sampling scheme for the delta operator system converted from the CPS is designed. Furthermore, a dynamic event-triggered mechanism (DETM) is proposed using the variable period sampling signal, which can reduce event triggered data calculations and increase event triggered intervals. By utilizing the average dwell time (ADT) approach, sufficient conditions contains the explicit variable sampling period are derived for the derived switched CPS. Finally, the effectiveness of the designed method is verified by numerical examples.

基于 QoS 的可变采样方法下的 CPS 动态事件触发控制
本文为具有延迟和丢包现象的网络物理系统(CPS)设计了一种服务质量(QoS)相关的可变采样动态事件触发控制方法,以应对非理想的网络环境,保持理想的控制性能并提高通信效率。为了实现变周期采样,利用三角算子离散法设计了一种基于无线网络 QoS 的采样器。然后,设计了一种由 CPS 转换而来的三角算子系统变周期采样方案。此外,还利用变周期采样信号提出了一种动态事件触发机制(DETM),它可以减少事件触发数据计算量,增加事件触发间隔。通过利用平均驻留时间(ADT)方法,得出了开关式 CPS 包含显式可变采样周期的充分条件。最后,通过数值示例验证了所设计方法的有效性。
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
ISA transactions
ISA transactions 工程技术-工程:综合
CiteScore
11.70
自引率
12.30%
发文量
824
审稿时长
4.4 months
期刊介绍: ISA Transactions serves as a platform for showcasing advancements in measurement and automation, catering to both industrial practitioners and applied researchers. It covers a wide array of topics within measurement, including sensors, signal processing, data analysis, and fault detection, supported by techniques such as artificial intelligence and communication systems. Automation topics encompass control strategies, modelling, system reliability, and maintenance, alongside optimization and human-machine interaction. The journal targets research and development professionals in control systems, process instrumentation, and automation from academia and industry.
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