一种基于神经网络的自适应模糊逻辑控制器

Proceedings Autonomous Decentralized Systems, 2005. ISADS 2005. Pub Date : 2005-04-04 DOI:10.1109/ISADS.2005.1452096

Huiwen Deng, Yi Wang

{"title":"一种基于神经网络的自适应模糊逻辑控制器","authors":"Huiwen Deng, Yi Wang","doi":"10.1109/ISADS.2005.1452096","DOIUrl":null,"url":null,"abstract":"Scaling factors tuning is one of the most used method to enhance the performance of a fuzzy logic controller (FLC). In this paper, we bring forward an adaptive FLC with self adjusting scaling factors (SFs) using neural networks (NNs). Definitions of SFs and their effects on the overall performance of an FLC are analyzed. Detailed control scheme, learning mechanism for the NNs and simulation results for typical second-order linear and nonlinear systems are showed.","PeriodicalId":120577,"journal":{"name":"Proceedings Autonomous Decentralized Systems, 2005. ISADS 2005.","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"An adaptive fuzzy logic controller with self-tuning scaling factors based on neural networks\",\"authors\":\"Huiwen Deng, Yi Wang\",\"doi\":\"10.1109/ISADS.2005.1452096\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Scaling factors tuning is one of the most used method to enhance the performance of a fuzzy logic controller (FLC). In this paper, we bring forward an adaptive FLC with self adjusting scaling factors (SFs) using neural networks (NNs). Definitions of SFs and their effects on the overall performance of an FLC are analyzed. Detailed control scheme, learning mechanism for the NNs and simulation results for typical second-order linear and nonlinear systems are showed.\",\"PeriodicalId\":120577,\"journal\":{\"name\":\"Proceedings Autonomous Decentralized Systems, 2005. ISADS 2005.\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-04-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Autonomous Decentralized Systems, 2005. ISADS 2005.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISADS.2005.1452096\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Autonomous Decentralized Systems, 2005. ISADS 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISADS.2005.1452096","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 10

摘要

比例因子整定是提高模糊控制器(FLC)性能的常用方法之一。本文提出了一种基于神经网络的自适应FLC。分析了SFs的定义及其对FLC整体性能的影响。给出了神经网络的详细控制方案、学习机制以及典型二阶线性和非线性系统的仿真结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

An adaptive fuzzy logic controller with self-tuning scaling factors based on neural networks

Scaling factors tuning is one of the most used method to enhance the performance of a fuzzy logic controller (FLC). In this paper, we bring forward an adaptive FLC with self adjusting scaling factors (SFs) using neural networks (NNs). Definitions of SFs and their effects on the overall performance of an FLC are analyzed. Detailed control scheme, learning mechanism for the NNs and simulation results for typical second-order linear and nonlinear systems are showed.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Proceedings Autonomous Decentralized Systems, 2005. ISADS 2005.

自引率

0.00%

发文量