拒绝服务攻击下网络 T-S 模糊交换系统的自适应内存事件触发容错耗散控制

IF 2.7 4区计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS

Asian Journal of Control Pub Date : 2024-06-06 DOI:10.1002/asjc.3421

Hui Gao, Yongsheng Ou, Binrui Wang, Kaibo Shi

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引用次数: 0

摘要

本文通过基于内存的自适应事件触发机制，研究了拒绝服务（DoS）攻击下网络 T-S 模糊交换系统的耗散控制问题。由于系统模式和控制器模式并不完全匹配，因此设计了异步控制。基于内存的自适应事件触发机制可以利用发布的历史数据实现更好的性能。通过构建与控制器模式相关的 Lyapunov 函数，可以保证闭环系统的耗散性能。最后，提出了一个数值示例来说明该方法的优越性。

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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Adaptive memory event-triggered fault-tolerant dissipative control for networked T-S fuzzy switched systems under denial-of-service attacks

This paper studied the problem of dissipative control for networked T-S fuzzy switched systems under denial of service (DoS) attacks via a memory-based adaptive event-triggered mechanism. Since the system mode and controller mode do not match exactly, the asynchronous control is designed. The memory-based adaptive event-triggered mechanism can achieve better performance by using the historical data released. Though constructing a controller mode dependent Lyapunov functional, the dissipative performance of the closed-loop system can be guaranteed. Finally, a numerical example is proposed to illustrate the superiority of the approach.

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来源期刊

Asian Journal of Control 工程技术-自动化与控制系统

CiteScore

4.80

自引率

25.00%

发文量

253

审稿时长

7.2 months

期刊介绍： The Asian Journal of Control, an Asian Control Association (ACA) and Chinese Automatic Control Society (CACS) affiliated journal, is the first international journal originating from the Asia Pacific region. The Asian Journal of Control publishes papers on original theoretical and practical research and developments in the areas of control, involving all facets of control theory and its application. Published six times a year, the Journal aims to be a key platform for control communities throughout the world. The Journal provides a forum where control researchers and practitioners can exchange knowledge and experiences on the latest advances in the control areas, and plays an educational role for students and experienced researchers in other disciplines interested in this continually growing field. The scope of the journal is extensive. Topics include: The theory and design of control systems and components, encompassing: Robust and distributed control using geometric, optimal, stochastic and nonlinear methods Game theory and state estimation Adaptive control, including neural networks, learning, parameter estimation and system fault detection Artificial intelligence, fuzzy and expert systems Hierarchical and man-machine systems All parts of systems engineering which consider the reliability of components and systems Emerging application areas, such as: Robotics Mechatronics Computers for computer-aided design, manufacturing, and control of various industrial processes Space vehicles and aircraft, ships, and traffic Biomedical systems National economies Power systems Agriculture Natural resources.