有限时间随机有界网络控制系统的输入延迟分析与H∞控制

IF 1.7 4区 工程技术 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Complexity Pub Date : 2025-09-09 DOI:10.1155/cplx/7635015
Gaofeng Peng, Hu Dong, Jin Yuan Zhao, Yang Leng
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引用次数: 0

摘要

研究了有限时间随机有界网络控制系统的输入延迟分析和H∞控制问题。首先,采用一种新的控制方案处理马尔可夫跳变参数,并将事件触发规则引入到具有FTSB的网络控制系统中,保证了系统的控制性能,有效提高了网络控制系统的资源利用率。同时,得到了比传统方法更精确的输入延迟表达式。然后,给出了网络控制系统具有FTSB的充分条件。此外,还得到了具有FTSB性能的随机网络控制系统的H∞状态反馈控制器。最后,通过实例验证了本文方法的有效性,特别是H∞状态反馈控制器的良好控制效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Input Delay Analysis and H∞ Control for Networked Control Systems With Finite-Time Stochastic Boundedness

Input Delay Analysis and H∞ Control for Networked Control Systems With Finite-Time Stochastic Boundedness

This paper investigates the input delay analysis and H control problem for networked control systems with finite-time stochastic boundedness (FTSB). First, a novel control scheme is used to handle the Markovian jump parameters, and an event-triggered rule is introduced to a networked control system with FTSB, which can ensure the control performance of the system and effectively improve the resource utilization of the networked control system. Simultaneously, a more accurate expression for input delay compared to traditional methods is obtained. Then, the sufficient condition for the networked control system to have FTSB is derived. Additionally, an H state feedback controller for the stochastic networked control system with FTSB performance is obtained. Finally, an illustrative example is provided to verify the effectiveness of the method proposed in this paper, especially the good control effect of the H state feedback controller.

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来源期刊
Complexity
Complexity 综合性期刊-数学跨学科应用
CiteScore
5.80
自引率
4.30%
发文量
595
审稿时长
>12 weeks
期刊介绍: Complexity is a cross-disciplinary journal focusing on the rapidly expanding science of complex adaptive systems. The purpose of the journal is to advance the science of complexity. Articles may deal with such methodological themes as chaos, genetic algorithms, cellular automata, neural networks, and evolutionary game theory. Papers treating applications in any area of natural science or human endeavor are welcome, and especially encouraged are papers integrating conceptual themes and applications that cross traditional disciplinary boundaries. Complexity is not meant to serve as a forum for speculation and vague analogies between words like “chaos,” “self-organization,” and “emergence” that are often used in completely different ways in science and in daily life.
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