Hardware implementation issues of multivariable fuzzy control systems

M. Patyra, J. Grantner
{"title":"Hardware implementation issues of multivariable fuzzy control systems","authors":"M. Patyra, J. Grantner","doi":"10.1109/IFIS.1993.324191","DOIUrl":null,"url":null,"abstract":"We show two models for synchronous finite state machines (FSM) based on fuzzy logic: the crisp-state-fuzzy-output (CSFO) FSM, and the fuzzy-state-fuzzy-output (CSFO) FSM. As a result of the introduction of the FSM models, improved architectures for fuzzy logic controller have been defined. The new method for linguistic fuzzy model building of multi-input-multi-output controllers is proposed. Due to the applied theoretic approach to the fuzzy model building, the fuzzy logic controller architecture features massively parallel fuzzy data inferencing is obtained. This architecture provides almost constant performance, independent on the number of inputs, on the number of outputs, and on the number of processed rules. The approach can be utilised for logic controller hardware to work in the real-time environment.<<ETX>>","PeriodicalId":408138,"journal":{"name":"Third International Conference on Industrial Fuzzy Control and Intelligent Systems","volume":"73 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Third International Conference on Industrial Fuzzy Control and Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IFIS.1993.324191","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

Abstract

We show two models for synchronous finite state machines (FSM) based on fuzzy logic: the crisp-state-fuzzy-output (CSFO) FSM, and the fuzzy-state-fuzzy-output (CSFO) FSM. As a result of the introduction of the FSM models, improved architectures for fuzzy logic controller have been defined. The new method for linguistic fuzzy model building of multi-input-multi-output controllers is proposed. Due to the applied theoretic approach to the fuzzy model building, the fuzzy logic controller architecture features massively parallel fuzzy data inferencing is obtained. This architecture provides almost constant performance, independent on the number of inputs, on the number of outputs, and on the number of processed rules. The approach can be utilised for logic controller hardware to work in the real-time environment.<>
多变量模糊控制系统的硬件实现问题
我们给出了基于模糊逻辑的同步有限状态机(FSM)的两种模型:脆状态-模糊输出(CSFO) FSM和模糊状态-模糊输出(CSFO) FSM。由于引入了FSM模型,定义了改进的模糊逻辑控制器体系结构。提出了一种多输入-多输出控制器语言模糊建模的新方法。通过应用理论方法建立模糊模型,得到了具有大规模并行模糊数据推理功能的模糊控制器结构。该体系结构提供几乎恒定的性能,与输入数量、输出数量和处理的规则数量无关。该方法可用于逻辑控制器硬件在实时环境中工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信