Design of Fuzzy Controllers for Embedded Systems With JFML

Abstract

Fuzzy Rule-Based Systems JFML Embedded systems IEEE Std 1855-2016 Open source software Open hardware ID:p0085 Fuzzy rule-based systems (FRBSs) have been successfully applied to a wide range of real-world problems. However, they suffer from some design issues related to the difficulty to implement them on different hardware platforms without additional efforts. To bridge this gap, recently, the IEEE Computational Intelligence Society has sponsored the publication of the standard IEEE Std 1855-2016 which is aimed at providing the fuzzy community with a well-defined approach to model FRBSs in a hardwareindependent way. In order to provide a runnable version of an FRBS that is designed in accordance with the IEEE Std 1855-2016, the open source library Java Fuzzy Markup Language (JFML) has been developed. However, due to hardware and/or software limitations of embedded systems, it is not always possible to run an IEEE Std 1855-2016 FRBS on this kind of systems. The aim of this paper is to overcome this drawback by developing a new JFML module that assists developers in the design and implementation of FRBSs for open hardware-embedded systems. In detail, the module supports several connection types (WiFi, Bluetooth, and USB) in order to make feasible running FRBSs in a remote computer when, due to hardware limitations, it is not possible that they run locally in the embedded systems. The new JFML module is ready for Arduino TM and Raspberry Pi, but it can be easily extended to other hardware architectures. Moreover, the new JFML module allows to automatically generate runnable files on Arduino TM or Raspberry Pi in order to support nonexpert users, that is, users without specific knowledge about embedded systems or without strong programming skills. The use of the new JFML module is illustrated in two case studies. A B S T R A C T

An Internet of Things and Fuzzy Markup Language Based Approach to Prevent the Risk of Falling Object Accidents in the Execution Phase of Construction Projects

“…FML includes an extensible schema that defines the basic components of different types of FLS -including Mamdani, Tsukamoto and Takagi-Sugeno-Kang (TSK) [50]-but also the most recent AnYa [51]. The standard focuses on interoperability, i.e., the exchange of XML-based instances of FLS between various systems without taking care of hardware specifications, thus overcoming some limitations of embedded systems [32].…”

“…Additionally, in order to make the IEEE standard operative and useful for the fuzzy community, the library JFML [ 31 ] has been developed to offer a complete implementation of the new IEEE standard. Some hardware/sensor developments based on JFML have also been successfully done [ 32 ].…”

Controle Automático de Volume em Tempo Real Utilizando Inferência Fuzzy em um Sistema Embarcado

“…Existem muitas abordagens referentesà utilização de lógica Fuzzy tanto em processos de tempo real, como em análises off-line. Uma das tendências, com o crescimento da indústria de embarcados,é o uso destes dispositivos na monitoração e controle de diversos sistemas e processos [8,27,32]. A utilização de lógica Fuzzy embarcada, como apresentado neste trabalho, possibilita aumentar o desempenho, a confiabilidade e a produtividade no controle de sistemas complexos em tempo real, além de diminuir o custo de mercado, o tamanho do produto e a duração do desenvolvimento do projeto.…”

An Android and Arduino Based Low-Cost Educational Robot with Applied Intelligent Control and Machine Learning

“…Specifically, Andruino-R2 must visually follow a path, marked by a green line, in addition to stopping when it detects an obstacle ahead close enough, in a qualitative sense. Fuzzy systems have been widely applied in robotics for intelligent navigation [36], visual path tracking [37], optimal obstacle avoidance in underwater vehicles [38] or design of fuzzy controllers for embedded systems [25], to name a few recent developments.…”

“…However, in many cases, only simulation environments are considered or commercial educational robots are used with a higher cost [22][23][24]. Low-cost robots have also been used, but generally with a very specific approach as in [25] where the implementation of fuzzy controllers in embedded systems is shown. On the contrary Andruino-R2, allows to acquire the holistic vision that the construction of a complete system offers the student, in addition to being flexible enough to implement different sets of techniques in a simple way.…”