{"title":"混沌控制中的最优目标:一种离散哈密顿方法","authors":"Ulrich Vogl","doi":"10.1109/SSD.2012.6197946","DOIUrl":null,"url":null,"abstract":"One of the most interesting paradigms of chaos control is the possibility of switching a system between different unstable periodic orbits (UPOs) with effectively zero control energy. We give a robust method to find finite-time optimal transient trajectories, and show how to stabilize both, UPOs and transients, within the same LQ-framework. The method is quite general, and can also be used to drive a system from static stationary points to an UPO. To illustrate our approach we apply it to the controlled logistic map, and also to an experimental driven-pendulum setup.","PeriodicalId":425823,"journal":{"name":"International Multi-Conference on Systems, Sygnals & Devices","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimal targeting in chaos control: A discrete Hamiltonian approach\",\"authors\":\"Ulrich Vogl\",\"doi\":\"10.1109/SSD.2012.6197946\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"One of the most interesting paradigms of chaos control is the possibility of switching a system between different unstable periodic orbits (UPOs) with effectively zero control energy. We give a robust method to find finite-time optimal transient trajectories, and show how to stabilize both, UPOs and transients, within the same LQ-framework. The method is quite general, and can also be used to drive a system from static stationary points to an UPO. To illustrate our approach we apply it to the controlled logistic map, and also to an experimental driven-pendulum setup.\",\"PeriodicalId\":425823,\"journal\":{\"name\":\"International Multi-Conference on Systems, Sygnals & Devices\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-03-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Multi-Conference on Systems, Sygnals & Devices\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SSD.2012.6197946\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Multi-Conference on Systems, Sygnals & Devices","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSD.2012.6197946","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal targeting in chaos control: A discrete Hamiltonian approach
One of the most interesting paradigms of chaos control is the possibility of switching a system between different unstable periodic orbits (UPOs) with effectively zero control energy. We give a robust method to find finite-time optimal transient trajectories, and show how to stabilize both, UPOs and transients, within the same LQ-framework. The method is quite general, and can also be used to drive a system from static stationary points to an UPO. To illustrate our approach we apply it to the controlled logistic map, and also to an experimental driven-pendulum setup.