{"title":"倒立摆的加权控制器:复制因子动力学方法","authors":"Alejandro Betancur, E. Mojica-Nava, N. Quijano","doi":"10.1109/ANDESCON.2010.5632514","DOIUrl":null,"url":null,"abstract":"The inverted pendulum system has been widely studied to test control techniques of nonlinear systems. We introduce a new alternative to control systems with complex dynamics, based on evolutionary game theory. Specifically, we use dynamics that are represented by the replicator equation, which has been successfully used in autonomous systems, control flight, and temperature control. Simulation results compare our proposed method against a classical control technique.","PeriodicalId":359559,"journal":{"name":"2010 IEEE ANDESCON","volume":"2021 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Weighted controller for an inverted pendulum: A replicator dynamics approach\",\"authors\":\"Alejandro Betancur, E. Mojica-Nava, N. Quijano\",\"doi\":\"10.1109/ANDESCON.2010.5632514\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The inverted pendulum system has been widely studied to test control techniques of nonlinear systems. We introduce a new alternative to control systems with complex dynamics, based on evolutionary game theory. Specifically, we use dynamics that are represented by the replicator equation, which has been successfully used in autonomous systems, control flight, and temperature control. Simulation results compare our proposed method against a classical control technique.\",\"PeriodicalId\":359559,\"journal\":{\"name\":\"2010 IEEE ANDESCON\",\"volume\":\"2021 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE ANDESCON\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ANDESCON.2010.5632514\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE ANDESCON","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANDESCON.2010.5632514","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Weighted controller for an inverted pendulum: A replicator dynamics approach
The inverted pendulum system has been widely studied to test control techniques of nonlinear systems. We introduce a new alternative to control systems with complex dynamics, based on evolutionary game theory. Specifically, we use dynamics that are represented by the replicator equation, which has been successfully used in autonomous systems, control flight, and temperature control. Simulation results compare our proposed method against a classical control technique.