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首页> 外文期刊>Neural Networks and Learning Systems, IEEE Transactions on >Reduced-Order Observer-Based Dynamic Event-Triggered Adaptive NN Control for Stochastic Nonlinear Systems Subject to Unknown Input Saturation
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Reduced-Order Observer-Based Dynamic Event-Triggered Adaptive NN Control for Stochastic Nonlinear Systems Subject to Unknown Input Saturation

机译：基于阶Observer的动态事件触发自适应NN控制，用于随机非线性系统受未知输入饱和度的影响

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摘要

In this article, a dynamic event-triggered control scheme for a class of stochastic nonlinear systems with unknown input saturation and partially unmeasured states is presented. First, a dynamic event-triggered mechanism (DEM) is designed to reduce some unnecessary transmissions from controller to actuator so as to achieve better resource efficiency. Unlike most existing event-triggered mechanisms, in which the threshold parameters are always fixed, the threshold parameter in the developed event-triggered condition is dynamically adjusted according to a dynamic rule. Second, an improved neural network that considers the reconstructed error is introduced to approximate the unknown nonlinear terms existed in the considered systems. Third, an auxiliary system with the same order as the considered system is constructed to deal with the influence of asymmetric input saturation, which is distinct from most existing methods for nonlinear systems with input saturation. Assuming that the partial state is unavailable in the system, a reduced-order observer is presented to estimate them. Furthermore, it is theoretically proven that the obtained control scheme can achieve the desired objects. Finally, a one-link manipulator system and a three-degree-of-freedom ship maneuvering system are presented to illustrate the effectiveness of the proposed control method.
机译：在本文中，提出了一种具有未知输入饱和度和部分未测量状态的一类随机非线性系统的动态事件触发控制方案。首先，设计动态事件触发机制（DEM）以减少从控制器到致动器的一些不必要的传输，以实现更好的资源效率。与大多数现有事件触发的机制不同，其中阈值参数始终固定，根据动态规则动态地调整开发事件触发条件中的阈值参数。其次，引入了考虑重建错误的改进的神经网络以近似于所考虑的系统中存在的未知非线性术语。第三，构建了与所考虑的系统相同的订单的辅助系统，以处理不对称输入饱和度的影响，这与输入饱和度的非线性系统的大多数现有方法不同。假设在系统中不可用部分状态，呈现了减少的观察者以估计它们。此外，理论上证明了所获得的控制方案可以实现所需的物体。最后，提出了一种单链路操纵器系统和三维自由度的船舶操纵系统，以说明所提出的控制方法的有效性。

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