This paper investigates the controller design problem of synchronization in finite-\(\setminus \)fixed-time of a class Cohen–Grossberg-type fuzzy neural networks (CGFNNs) with discontinuous activation function and time-varying delays. By using the Lyapunov theory and differential inclusion theory, FT synchronization condition for CGF-NNs and the upper bound of the settling time for synchronization are obtained. Moreover, the settling time of FXT synchronization, that does not depend upon the initial values, is merely calculated. A novel criterion for guaranteeing the FXT synchronization of CGFNNs is derived. Our control schema achieves system synchronization within bounded time and has an advantage in convergence rate. Numerical simulations are provided to illustrate the efficaciousness of the ideal analysis.

本文研究了具有不连续激活函数和时变延迟的类 Cohen-Grossberg 型模糊神经网络 (CGFNN) 的有限- \(\setminus\)固定时间同步控制器设计问题。利用Lyapunov理论和微分包含理论，得到了CGF-NNs的FT同步条件和同步建立时间的上限。此外，FXT 同步的稳定时间，不依赖于初始值，只是计算。导出了保证 CGFNN 的 FXT 同步的新标准。我们的控制方案在有限时间内实现了系统同步，并且在收敛速度上具有优势。提供了数值模拟来说明理想分析的有效性。