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

Autor: Yanni Li, Xiuying Li
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: IET Control Theory & Applications, Vol 18, Iss 7, Pp 825-833 (2024)
Druh dokumentu: article
ISSN: 1751-8652
1751-8644
DOI: 10.1049/cth2.12549
Popis: 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.
Databáze: Directory of Open Access Journals
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