IEEE Trans Neural Netw Learn Syst. 2017 Oct;28(10):2334-2343. doi: 10.1109/TNNLS.2016.2580609. Epub 2016 Jul 14.
This paper addresses the issue of synchronization of switched delayed neural networks with communication delays via event-triggered control. For synchronizing coupled switched neural networks, we propose a novel event-triggered control law which could greatly reduce the number of control updates for synchronization tasks of coupled switched neural networks involving embedded microprocessors with limited on-board resources. The control signals are driven by properly defined events, which depend on the measurement errors and current-sampled states. By using a delay system method, a novel model of synchronization error system with delays is proposed with the communication delays and event-triggered control in the unified framework for coupled switched neural networks. The criteria are derived for the event-triggered synchronization analysis and control synthesis of switched neural networks via the Lyapunov-Krasovskii functional method and free weighting matrix approach. A numerical example is elaborated on to illustrate the effectiveness of the derived results.
本文针对具有通信延迟的切换时滞神经网络的同步问题，通过事件触发控制进行了研究。为了实现耦合切换神经网络的同步，我们提出了一种新的事件触发控制律，该控制律可以大大减少具有有限板载资源的嵌入式微处理器的耦合切换神经网络同步任务的控制更新次数。控制信号由适当定义的事件驱动，这些事件取决于测量误差和当前采样状态。通过使用时滞系统方法，在耦合切换神经网络的统一框架中提出了具有通信时滞和事件触发控制的同步误差系统的新模型。通过 Lyapunov-Krasovskii 泛函方法和自由加权矩阵方法，推导出了切换神经网络的事件触发同步分析和控制综合的准则。通过一个数值实例来说明所得结果的有效性。
