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Ju, X., Li, C., Han, X. and He, X. (2022) Neurodynamic Network for Absolute Value Equations: A Fixed-Time Convergence Technique. IEEE Transactions on Circuits and Systems II: Express Briefs, 69, 1807-1811.
https://doi.org/10.1109/tcsii.2021.3128416

has been cited by the following article:

• TITLE: A Novel Inverse-Free Neurodynamic Approach for Solving Absolute Value Equations

  AUTHORS: Tao Li

  KEYWORDS: Absolute Value Equations, Neurodynamic Approach, Fixed-Time Convergence, Numerical Simulations

  JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.12 No.10, October 28, 2024

  ABSTRACT: We propose a novel inverse-free neurodynamic approach (NIFNA) for solving absolute value equations (AVE). The NIFNA guarantees global convergence and notably improves convergence speed by achieving fixed-time convergence. To validate the theoretical findings, numerical simulations are conducted, demonstrating the effectiveness and efficiency of the proposed NIFNA.