{"title":"基于大脑情绪学习的不确定系统智能控制器设计","authors":"Reshma Ravi, Mija S.J.","doi":"10.1109/ICACCCT.2014.7019265","DOIUrl":null,"url":null,"abstract":"This paper addressess, a study on the bio inspired intelligent controller namely Brain Emotional Learning Based Intelligent Controller (BELBIC) and its design for spring mass damper system which has parameter uncertainty. The mass-damper-spring system is a common control experimental device frequently used. This paper gives the possible structured (parametric) uncertainties in the spring-mass-damper system. The model free controller based on the brain-emotional-learning algorithm adapts the computational model of limbic system in the mammalian brain. Here an attempt is made to design the controller for a uncertain system (spring-mass-damper). The performance of the developed controller is compared with that of a PID controller.","PeriodicalId":239918,"journal":{"name":"2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Design of Brain Emotional Learning Based Intelligent Controller (BELBIC) for uncertain systems\",\"authors\":\"Reshma Ravi, Mija S.J.\",\"doi\":\"10.1109/ICACCCT.2014.7019265\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper addressess, a study on the bio inspired intelligent controller namely Brain Emotional Learning Based Intelligent Controller (BELBIC) and its design for spring mass damper system which has parameter uncertainty. The mass-damper-spring system is a common control experimental device frequently used. This paper gives the possible structured (parametric) uncertainties in the spring-mass-damper system. The model free controller based on the brain-emotional-learning algorithm adapts the computational model of limbic system in the mammalian brain. Here an attempt is made to design the controller for a uncertain system (spring-mass-damper). The performance of the developed controller is compared with that of a PID controller.\",\"PeriodicalId\":239918,\"journal\":{\"name\":\"2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICACCCT.2014.7019265\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACCCT.2014.7019265","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design of Brain Emotional Learning Based Intelligent Controller (BELBIC) for uncertain systems
This paper addressess, a study on the bio inspired intelligent controller namely Brain Emotional Learning Based Intelligent Controller (BELBIC) and its design for spring mass damper system which has parameter uncertainty. The mass-damper-spring system is a common control experimental device frequently used. This paper gives the possible structured (parametric) uncertainties in the spring-mass-damper system. The model free controller based on the brain-emotional-learning algorithm adapts the computational model of limbic system in the mammalian brain. Here an attempt is made to design the controller for a uncertain system (spring-mass-damper). The performance of the developed controller is compared with that of a PID controller.