{"title":"货车与双挂车的模糊倒车控制","authors":"A. Riid, A. Leibak, E. Rustern","doi":"10.1109/ICCCYB.2006.305690","DOIUrl":null,"url":null,"abstract":"For a number of years, truck backer-upper problem has served as a benchmark for control among the practitioners of computational intelligence. In our works from the past we have shown how decomposition of the control problem and subsequent segmentation of the control system leads to substantial control performance improvement. In current paper, this control principle is extended to the much more complex two-trailer backing problem with great success.","PeriodicalId":160588,"journal":{"name":"2006 IEEE International Conference on Computational Cybernetics","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Fuzzy Backing Control of Truck and Two Trailers\",\"authors\":\"A. Riid, A. Leibak, E. Rustern\",\"doi\":\"10.1109/ICCCYB.2006.305690\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For a number of years, truck backer-upper problem has served as a benchmark for control among the practitioners of computational intelligence. In our works from the past we have shown how decomposition of the control problem and subsequent segmentation of the control system leads to substantial control performance improvement. In current paper, this control principle is extended to the much more complex two-trailer backing problem with great success.\",\"PeriodicalId\":160588,\"journal\":{\"name\":\"2006 IEEE International Conference on Computational Cybernetics\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 IEEE International Conference on Computational Cybernetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCCYB.2006.305690\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE International Conference on Computational Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCYB.2006.305690","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
For a number of years, truck backer-upper problem has served as a benchmark for control among the practitioners of computational intelligence. In our works from the past we have shown how decomposition of the control problem and subsequent segmentation of the control system leads to substantial control performance improvement. In current paper, this control principle is extended to the much more complex two-trailer backing problem with great success.
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