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FUZZY MODELING AND FAULT DETECTION FOR NETWORKED CONTROL SYSTEMS

机译:网络控制系统的模糊建模与故障检测

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摘要

Networked control systems (NCS) are systems with at least one loop closed through data networks. NCS have many advantages compared with traditional systems, but the network-induced time delay and other peculiarities of communication channel will degrade the performance of closed-loop systems. In this paper, we focused on NCS with random time delays. New models, the so-called 'quasi T-S fuzzy models', for linear and nonlinear NCS with random time delays were presented, the stability of closed-loop system was discussed, and based on these fuzzy models, fault detection problems for NCS were addressed. Finally, a simulation example was given.
机译:网络控制系统(NCS)是通过数据网络关闭的至少一个环路的系统。与传统系统相比,NCS具有许多优点,但网络诱导的时间延迟和通信通道的其他特性将降低闭环系统的性能。在本文中,我们专注于随机时间延迟的NCS。新型号,所谓的“准ts模糊模型”,用于随机时间延迟的线性和非线性NCS,讨论了闭环系统的稳定性,并基于这些模糊模型,解决了NCS的故障检测问题。最后,给出了模拟例子。

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