{"title":"基于神经网络的移动机器人控制器","authors":"Celso de Sousa Júnior, E. M. Hemerly","doi":"10.1109/SBRN.2000.889712","DOIUrl":null,"url":null,"abstract":"A neural network-based control approach for mobile robot is proposed. The weight adaptation is made online, without previous learning. Several possible situations in robot navigation are considered,including uncertainties in the model and presence of disturbance. Weight adaptation laws are presented as well as simulation results.","PeriodicalId":448461,"journal":{"name":"Proceedings. Vol.1. Sixth Brazilian Symposium on Neural Networks","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Neural network-based controllers for mobile robot\",\"authors\":\"Celso de Sousa Júnior, E. M. Hemerly\",\"doi\":\"10.1109/SBRN.2000.889712\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A neural network-based control approach for mobile robot is proposed. The weight adaptation is made online, without previous learning. Several possible situations in robot navigation are considered,including uncertainties in the model and presence of disturbance. Weight adaptation laws are presented as well as simulation results.\",\"PeriodicalId\":448461,\"journal\":{\"name\":\"Proceedings. Vol.1. Sixth Brazilian Symposium on Neural Networks\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-01-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. Vol.1. Sixth Brazilian Symposium on Neural Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SBRN.2000.889712\",\"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. Vol.1. Sixth Brazilian Symposium on Neural Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SBRN.2000.889712","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A neural network-based control approach for mobile robot is proposed. The weight adaptation is made online, without previous learning. Several possible situations in robot navigation are considered,including uncertainties in the model and presence of disturbance. Weight adaptation laws are presented as well as simulation results.
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