{"title":"基于模糊分形遗传方法的机器人动态系统智能数学建模与仿真","authors":"O. Castillo, P. Melin","doi":"10.1109/SIMSYM.1999.766461","DOIUrl":null,"url":null,"abstract":"We describe a novel method for mathematical modelling and simulation (MMS) of nonlinear robotic dynamic systems using fuzzy logic techniques, genetic algorithms and fractal theory. The new fuzzy-fractal-genetic method combines soft computing techniques with mathematical methods for the domain of modelling and simulation of nonlinear robotic systems. This domain is quite complex because it is a well known fact that even simple nonlinear dynamical systems can exhibit \"chaotic\" behavior. The new method for MMS of nonlinear robotic dynamic systems has been implemented as a computer program to show that our new fuzzy-fractal-genetic approach is a good alternative for modelling this kind of system.","PeriodicalId":104054,"journal":{"name":"Proceedings 32nd Annual Simulation Symposium","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Intelligent mathematical modelling and simulation of robotic dynamic systems using a new fuzzy-fractal-genetic approach\",\"authors\":\"O. Castillo, P. Melin\",\"doi\":\"10.1109/SIMSYM.1999.766461\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We describe a novel method for mathematical modelling and simulation (MMS) of nonlinear robotic dynamic systems using fuzzy logic techniques, genetic algorithms and fractal theory. The new fuzzy-fractal-genetic method combines soft computing techniques with mathematical methods for the domain of modelling and simulation of nonlinear robotic systems. This domain is quite complex because it is a well known fact that even simple nonlinear dynamical systems can exhibit \\\"chaotic\\\" behavior. The new method for MMS of nonlinear robotic dynamic systems has been implemented as a computer program to show that our new fuzzy-fractal-genetic approach is a good alternative for modelling this kind of system.\",\"PeriodicalId\":104054,\"journal\":{\"name\":\"Proceedings 32nd Annual Simulation Symposium\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 32nd Annual Simulation Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIMSYM.1999.766461\",\"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 32nd Annual Simulation Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIMSYM.1999.766461","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Intelligent mathematical modelling and simulation of robotic dynamic systems using a new fuzzy-fractal-genetic approach
We describe a novel method for mathematical modelling and simulation (MMS) of nonlinear robotic dynamic systems using fuzzy logic techniques, genetic algorithms and fractal theory. The new fuzzy-fractal-genetic method combines soft computing techniques with mathematical methods for the domain of modelling and simulation of nonlinear robotic systems. This domain is quite complex because it is a well known fact that even simple nonlinear dynamical systems can exhibit "chaotic" behavior. The new method for MMS of nonlinear robotic dynamic systems has been implemented as a computer program to show that our new fuzzy-fractal-genetic approach is a good alternative for modelling this kind of system.
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