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Event-Triggered Guaranteed Cost Control for Uncertain Neural Networks Systems with Time Delays

机译:具有时间延迟的不确定神经网络系统的事件触发的保证成本控制

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摘要

This paper considers the problem of stabilization with event-triggered guaranteed cost control for a class of uncertain neural networks systems with time delays, where the time delays are assumed to be non-differentiable time-varying. A new Zeno-free dynamic event-triggered mechanism is first proposed, and then, based on it, a sufficient condition in terms of linear matrix inequalities is provided to ensure the asymptotic stability of the closed-loop system with guaranteed cost control. Two examples with simulations are provided to illustrate the efficiency of the proposed method.
机译:本文考虑了对一类不确定的神经网络系统具有时间延迟的一类不确定的神经网络系统的稳定性问题,其中假设时间延迟是不可微差的时变。 首先提出了一种新的自由动态事件触发机制,然后基于它,提供了线性矩阵不等式的充分条件,以确保具有保证成本控制的闭环系统的渐近稳定性。 提供了两个具有模拟的示例以说明所提出的方法的效率。

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