Improved nonlinear model-free adaptive iterative learning control in DoS attack environment

IF 2.2 4区计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS

IET Control Theory and Applications Pub Date : 2024-02-27 DOI:10.1049/cth2.12549

Yanni Li, Xiuying Li

引用次数: 0

Abstract

This paper investigates the design of a model-free adaptive iterative learning controller(MFAILC) based on sampled-data under the presence of denial-of-service(DoS) attacks in nonlinear networked control systems. First, the MFAILC is presented only using I/O data, where a compensation mechanism for DoS attacks is proposed. With dynamic linearization techniques, the nonlinear system is transformed into a linear system in the iteration domain. Then an improved MFAILC is designed to actively compensate the lost data caused by DoS attacks, where the estimation of pseudo-partial derivative (PPD) is improved by establishing the AR model. The proposed algorithm can weaken the adverse effects of the DoS attacks and ensure the excellent tracking performance of the system. Finally, the stability of the method is proved, and the effectiveness of the proposed algorithm is demonstrated by a numerical example.

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DoS 攻击环境下的改进型非线性无模型自适应迭代学习控制

本文研究了非线性网络控制系统中存在拒绝服务（DoS）攻击时基于采样数据的无模型自适应迭代学习控制器（MFAILC）的设计。首先，介绍了仅使用 I/O 数据的 MFAILC，并提出了针对 DoS 攻击的补偿机制。利用动态线性化技术，将非线性系统转化为迭代域中的线性系统。然后设计了一种改进的 MFAILC，以主动补偿 DoS 攻击造成的数据丢失，其中通过建立 AR 模型改进了伪偏导数（PPD）的估计。所提出的算法可以削弱 DoS 攻击的不利影响，确保系统具有出色的跟踪性能。最后，证明了该方法的稳定性，并通过一个数值实例展示了所提算法的有效性。

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

IET Control Theory and Applications 工程技术-工程：电子与电气

CiteScore

5.70

自引率

7.70%

发文量

167

审稿时长

5.1 months

期刊介绍： IET Control Theory & Applications is devoted to control systems in the broadest sense, covering new theoretical results and the applications of new and established control methods. Among the topics of interest are system modelling, identification and simulation, the analysis and design of control systems (including computer-aided design), and practical implementation. The scope encompasses technological, economic, physiological (biomedical) and other systems, including man-machine interfaces. Most of the papers published deal with original work from industrial and government laboratories and universities, but subject reviews and tutorial expositions of current methods are welcomed. Correspondence discussing published papers is also welcomed. Applications papers need not necessarily involve new theory. Papers which describe new realisations of established methods, or control techniques applied in a novel situation, or practical studies which compare various designs, would be of interest. Of particular value are theoretical papers which discuss the applicability of new work or applications which engender new theoretical applications.