Event-driven Fuzzy Inference System Implementation in Node-RED

J. Kopják, Gergely Sebestyen
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Abstract

Fuzzy Inference System can be applied in the Internet of Things solutions. Wireless devices in Internet of Things (IoT) solutions are communicating with messages. The message based communication in these systems can be represented as event-driven control network. In event-driven control networks the input values of the system not available at the same time. The aim of this paper is to show a possible solution to describe Takagi-Sugeno Fuzzy Inference System (FIS) as an event-driven network. This paper describes the implementation and validation of event-driven control network based Takagi-Sugeno FIS in Node-RED programming tool.
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事件驱动模糊推理系统在Node-RED中的实现
模糊推理系统可以应用于物联网解决方案。物联网(IoT)解决方案中的无线设备正在与消息进行通信。这些系统中基于消息的通信可以表示为事件驱动的控制网络。在事件驱动控制网络中,系统的输入值不是同时可用的。本文的目的是展示一个可能的解决方案来描述Takagi-Sugeno模糊推理系统(FIS)作为一个事件驱动的网络。本文描述了在Node-RED编程工具中基于Takagi-Sugeno FIS的事件驱动控制网络的实现和验证。
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