Fault-Tolerant Control for Finite/Fixed-Time Synchronization of Delayed Inertial Memristive NNs With Time-Varying Actuator Faults
研究了时滞惯性忆阻神经网络在时变执行器故障下的有限/固定时间同步问题，提出了状态反馈和事件触发容错控制器，并应用于图像加密的保密通信。
This article investigates finite/fixed-time synchronization (FTS/FXTS) for delayed inertial memristive neural networks (IMNNs) with time-varying actuator faults, a more practical scenario compared to the widely studied constant-fault case. Novel fault-tolerant controllers, including state-feedback and event-triggered schemes, are proposed to achieve synchronization under mixed delays. By establishing algebraic criteria via a nonreduced-order approach, explicit settling time estimates are derived while excluding Zeno behavior. The theoretical results are verified through simulations, and the proposed method is further applied to secure communication using synchronized IMNNs for image encryption.