IEEE Trans Cybern. 2023 Jul;53(7):4122-4133. doi: 10.1109/TCYB.2021.3128903. Epub 2023 Jun 15.
This work is concerned with the anti-synchronization (A-S) of drive-response (D-R) memristive neural networks (MNNs) based on fuzzy rules. A novel impulsive sampled-data communication mechanism is proposed by considering information security of the MNNs, in which the random response delay of sensors caused by the impulse signal is also investigated. As the state of MNNs cannot be outputted accurately and transmitted persistently, the state observers of the D-R MNNs are established, which is beneficial to design the A-S controller. By analyzing the stability of the augmented error system (AES) based on the fuzzy-based Lyapunov-Krasovskii functional (FLKF), sufficient conditions of the A-S between D-R MNNs are derived. An illustrative example is given to verify the effectiveness of the proposed A-S strategies.
这项工作涉及基于模糊规则的驱动-响应（D-R）忆阻神经网络（MNN）的反同步（A-S）。通过考虑 MNN 的信息安全性，提出了一种新颖的脉冲采样数据通信机制，其中还研究了传感器因脉冲信号引起的随机响应延迟。由于 MNN 的状态不能准确输出和持续传输，因此建立了 D-R MNN 的状态观测器，这有利于设计 A-S 控制器。通过基于模糊 Lyapunov-Krasovskii 泛函（FLKF）的增广误差系统（AES）的稳定性分析，推导出了 D-R MNN 之间 A-S 的充分条件。给出了一个说明性示例，以验证所提出的 A-S 策略的有效性。
