{"title":"Implementation of Neuro-fuzzy Control Systems","authors":"Sergey M. Morozov","doi":"10.1109/CTS53513.2021.9562822","DOIUrl":null,"url":null,"abstract":"Neuro-fuzzy approach for implementing control systems is considered. Neuro-fuzzy systems are a tool for a development of trainable control systems with high interpretability. These systems can be trained to work in new conditions. There is a possibility to analyze the actions, which implement the control. Examples of neuro-fuzzy control applications are presented: virtual assistant and automatic calibration system.","PeriodicalId":371882,"journal":{"name":"2021 IV International Conference on Control in Technical Systems (CTS)","volume":"151 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IV International Conference on Control in Technical Systems (CTS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CTS53513.2021.9562822","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Neuro-fuzzy approach for implementing control systems is considered. Neuro-fuzzy systems are a tool for a development of trainable control systems with high interpretability. These systems can be trained to work in new conditions. There is a possibility to analyze the actions, which implement the control. Examples of neuro-fuzzy control applications are presented: virtual assistant and automatic calibration system.
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