{"title":"基于多层模糊逻辑和差分进化算法的二自由度气动人工肌肉系统辨识","authors":"Cao Van Kien, Nguyen Ngoc Son, H. Anh","doi":"10.1109/ICIEA.2017.8283033","DOIUrl":null,"url":null,"abstract":"This paper proposes a new method for identifying a nonlinear pneumatic artificial muscle (PAM) 2-dof parallel system based on the novel NARX multilayer fuzzy model optimized by differential evolution (DE) algorithm. A multilayer fuzzy system is created by combining several MISO multilayer fuzzy models. Each MISO multilayer Fuzzy model is implemented through several Fuzzy Takagi-Sugeno sets. Then fuzzy structures and fuzzy rules of proposed multilayer fuzzy model were optimally trained by DE algorithm. The experiment results are presented. It proves a promisingly scalable and simple method to successfully identify nonlinear MIMO system.","PeriodicalId":443463,"journal":{"name":"2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA)","volume":"132 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Identification of 2-DOF pneumatic artificial muscle system with multilayer fuzzy logic and differential evolution algorithm\",\"authors\":\"Cao Van Kien, Nguyen Ngoc Son, H. Anh\",\"doi\":\"10.1109/ICIEA.2017.8283033\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a new method for identifying a nonlinear pneumatic artificial muscle (PAM) 2-dof parallel system based on the novel NARX multilayer fuzzy model optimized by differential evolution (DE) algorithm. A multilayer fuzzy system is created by combining several MISO multilayer fuzzy models. Each MISO multilayer Fuzzy model is implemented through several Fuzzy Takagi-Sugeno sets. Then fuzzy structures and fuzzy rules of proposed multilayer fuzzy model were optimally trained by DE algorithm. The experiment results are presented. It proves a promisingly scalable and simple method to successfully identify nonlinear MIMO system.\",\"PeriodicalId\":443463,\"journal\":{\"name\":\"2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA)\",\"volume\":\"132 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIEA.2017.8283033\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIEA.2017.8283033","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Identification of 2-DOF pneumatic artificial muscle system with multilayer fuzzy logic and differential evolution algorithm
This paper proposes a new method for identifying a nonlinear pneumatic artificial muscle (PAM) 2-dof parallel system based on the novel NARX multilayer fuzzy model optimized by differential evolution (DE) algorithm. A multilayer fuzzy system is created by combining several MISO multilayer fuzzy models. Each MISO multilayer Fuzzy model is implemented through several Fuzzy Takagi-Sugeno sets. Then fuzzy structures and fuzzy rules of proposed multilayer fuzzy model were optimally trained by DE algorithm. The experiment results are presented. It proves a promisingly scalable and simple method to successfully identify nonlinear MIMO system.
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