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A Double Integral Noise-Tolerant Fuzzy ZNN Model for TVSME Applied to the Synchronization of Chua's Circuit Chaotic System

Lookup NU author(s): Dr Jichun Li

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

Abstract

Taking advantage of the burgeoning zeroing neural network (ZNN) and the widely used fuzzy logic system (FLS), a novel double integral noise-tolerant fuzzy ZNN (DINTFZNN) model for solving the time-varying Sylvester matrix equation (TVSME) is proposed in this paper. The special feature of the DINTFZNN model lies in the adoption of a double integral design formula, which makes the DINTFZNN model has superb robustness, that is, it can effectively suppress not only linear noise but also quadratic noise. In addition, the DINTFZNN model utilizes a fuzzy parameter generated by FLS as the design parameter, which can adaptively adjust the convergence rate and enhance the robustness and adaptability of the DINTFZNN model. Theories have rigorously demonstrated the convergence and robustness of the DINTFZNN model. By the comparison experiments with the single integral noise-tolerant ZNN (SINTZNN) model, the superiority of the DINTFZNN model is further confirmed. In the end, the design method of the DINTFZNN model is applied to the synchronization of Chua's circuit chaotic systems, which epitomizes its excellent applicability.

Publication metadata

Author(s): Xiao L, Wang D, Luo L, Dai J, Yan X, Li J

Publication type: Article

Publication status: Published

Journal: IEEE Transactions on Fuzzy Systems

Year: 2024

Volume: 32

Issue: 11

Pages: 6214-6223

Print publication date: 01/11/2024

Online publication date: 14/08/2024

Acceptance date: 09/08/2024

Date deposited: 28/08/2024

ISSN (print): 1063-6706

ISSN (electronic): 1941-0034

Publisher: IEEE

URL: https://doi.org/10.1109/TFUZZ.2024.3443091

DOI: 10.1109/TFUZZ.2024.3443091

ePrints DOI: 10.57711/hpgq-5439

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