{"title":"Fuzzy tuning method for simulation of dynamic processes","authors":"G. Vachkov","doi":"10.1109/ANNES.1995.499461","DOIUrl":null,"url":null,"abstract":"A new MIMO type (multi-input, multi-output) fuzzy inference procedure for successive identification of a dynamic process of first order is proposed and investigated. It consists of two fuzzy rule bases adjusting the gain K and the time constant T respectively. A special \"soft switching\" procedure called fuzzy switch has been introduced. It calculates at each time instant the activation degree of tuning needed for both fuzzy reasoning procedures. A test plant example has been used for extensive evaluation of the practical applicability of the proposed fuzzy reasoning method.","PeriodicalId":123427,"journal":{"name":"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANNES.1995.499461","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
A new MIMO type (multi-input, multi-output) fuzzy inference procedure for successive identification of a dynamic process of first order is proposed and investigated. It consists of two fuzzy rule bases adjusting the gain K and the time constant T respectively. A special "soft switching" procedure called fuzzy switch has been introduced. It calculates at each time instant the activation degree of tuning needed for both fuzzy reasoning procedures. A test plant example has been used for extensive evaluation of the practical applicability of the proposed fuzzy reasoning method.
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