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首页> 外文期刊>Mechatronics, IEEE/ASME Transactions on >Direct Model Reference Adaptive Fuzzy Control of Networked SISO Nonlinear Systems
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Direct Model Reference Adaptive Fuzzy Control of Networked SISO Nonlinear Systems

机译：网络SISO非线性系统的直接模型参考自适应模糊控制。

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摘要

This study presents a novel direct model reference fuzzy controller as applied to the control of a nonlinear system over a network subject to variable network induced time delay. The proposed method uses Pade approximation to cope with this condition. Unlike most approaches seen in the literature, which are mostly model based and necessitate the solution of a set of linear matrix inequalities, the proposed approach is online and can be applied to nonlinear systems with a little knowledge about the structure of the system and the values of its parameters. The stability of the proposed method is proved using an appropriate Lyapunov function. The approach is implemented and tested on a dc motor with nonlinear characteristics and nonlinear state-dependent disturbance. It is shown that it is capable of controlling the system over a network subject to variable network-induced time delay with bounded tracking error. In addition, the effect of packet losses is considered in the implementation part and it is seen that the system can be controlled under these conditions too.
机译：这项研究提出了一种新颖的直接模型参考模糊控制器，该控制器应用于可变网络引起的时延的网络非线性系统的控制。所提出的方法使用帕德逼近来应对这种情况。与文献中看到的大多数方法（大多数方法都是基于模型的并且需要解决一组线性矩阵不等式）不同，该方法是在线的，可以在对系统结构和值了解甚少的情况下应用于非线性系统其参数。使用适当的Lyapunov函数证明了该方法的稳定性。该方法是在具有非线性特性和与状态有关的非线性干扰的直流电动机上实施和测试的。结果表明，它能够在网络上控制系统，而该网络会受到具有可变跟踪误差的网络引起的可变时延的影响。另外，在实现部分中考虑了分组丢失的影响，并且可以看出，在这些条件下也可以控制系统。

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