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Adaptive output-feedback control for MIMO nonlinear systems with time-varying delays using neural networks

机译:基于神经网络的时滞MIMO非线性系统的自适应输出反馈控制

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摘要

An adaptive neural network output-feedback regulation approach is proposed for a class of multi-input-multi-output nonlinear time-varying delayed systems. Both the designed observer and controller are free from time delays. Different from the existing results, this paper need not the assumption that the upper bounding functions of time-delay terms are known, and only a neural network is employed to compensate for all the upper bounding functions of time-delay terms, so the designed controller procedure is more simplified. In addition, the resulting closed-loop system is proved to be semi-globally ultimately uniformly bounded, and the output regulation error converges to a small residual set around the origin. Two simulation examples are provided to verify the effectiveness of control scheme.
机译:针对一类多输入多输出非线性时变时滞系统,提出了一种自适应神经网络输出反馈调节方法。设计的观察器和控制器都没有时间延迟。与现有结果不同,本文不需要假设时延项的上界函数是已知的,而仅使用神经网络来补偿时延项的所有上界函数,因此设计的控制器程序更加简化。此外,最终的闭环系统被证明是半全局最终均匀有界的,并且输出调节误差收敛到原点周围的一小部分残差集合。提供了两个仿真示例来验证控制方案的有效性。

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