Network-Based $H\infty$ Control for Descriptor Systems With Time Delays Under a Novel Event-Triggered Strategy

IF 5 3区计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Control of Network Systems Pub Date : 2024-07-19 DOI:10.1109/TCNS.2024.3431412

Ya-Li Zhi;Xu Liu;Ying Wang;Yuan Fan

引用次数: 0

Abstract

This article focuses on the event-triggered

$H\infty$

control problem of the networked descriptor system with time delays. First, a novel event-triggered communication strategy is proposed, which can adaptively adjust the triggering parameters in light of dynamic errors. The expected control performance can be ensured in parallel with saving limited communication resources. Second, an integrated system model is established by considering network-induced delays, event-triggered strategy, and systems' time-varying delays. A co-design control method based on the event-triggered strategy is proposed by implementing the Lyapunov method. Finally, the effectiveness and advantages of the proposed method are presented through two examples.

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新型事件触发策略下基于网络的时延描述符系统 H ∞ 控制

本文主要研究具有时滞的网络描述符系统的事件触发$H\infty$控制问题。首先，提出了一种新的事件触发通信策略，该策略可以根据动态误差自适应调整触发参数。在保证预期控制性能的同时，节省有限的通信资源。其次，考虑网络诱导延迟、事件触发策略和系统时变延迟，建立了系统集成模型。通过实现李亚普诺夫方法，提出了一种基于事件触发策略的协同设计控制方法。最后，通过两个算例说明了该方法的有效性和优越性。

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 Transactions on Control of Network Systems Mathematics-Control and Optimization

CiteScore

7.80

自引率

7.10%

发文量

169

期刊介绍： The IEEE Transactions on Control of Network Systems is committed to the timely publication of high-impact papers at the intersection of control systems and network science. In particular, the journal addresses research on the analysis, design and implementation of networked control systems, as well as control over networks. Relevant work includes the full spectrum from basic research on control systems to the design of engineering solutions for automatic control of, and over, networks. The topics covered by this journal include: Coordinated control and estimation over networks, Control and computation over sensor networks, Control under communication constraints, Control and performance analysis issues that arise in the dynamics of networks used in application areas such as communications, computers, transportation, manufacturing, Web ranking and aggregation, social networks, biology, power systems, economics, Synchronization of activities across a controlled network, Stability analysis of controlled networks, Analysis of networks as hybrid dynamical systems.

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