{"title":"非线性MIMO系统的有限时间收敛参数估计*","authors":"D. Bazylev, S. Vrazhevsky","doi":"10.1109/MED54222.2022.9837124","DOIUrl":null,"url":null,"abstract":"In this paper, we present a finite time convergence (FTC) parameter estimator for a class of non-linear MIMO systems. The designed FTC estimator is based on a continuous-time parameter identification algorithm that was recently proposed by the authors. Compared to the previous solution the new modified estimator doesn’t require the unobvious to achieve in practice assumptions imposed on regression functions to ensure guaranteed convergence. As a practical example, we use a “Twin Rotor MIMO System” laboratory bench which model is given by a nonlinear multi-channel system with cross-couplings. Significant improvement of the transient behavior for the new parameter estimator is demonstrated via representative simulation results.","PeriodicalId":354557,"journal":{"name":"2022 30th Mediterranean Conference on Control and Automation (MED)","volume":"313 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Finite Time Convergence Parameter Estimator for Nonlinear MIMO System*\",\"authors\":\"D. Bazylev, S. Vrazhevsky\",\"doi\":\"10.1109/MED54222.2022.9837124\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present a finite time convergence (FTC) parameter estimator for a class of non-linear MIMO systems. The designed FTC estimator is based on a continuous-time parameter identification algorithm that was recently proposed by the authors. Compared to the previous solution the new modified estimator doesn’t require the unobvious to achieve in practice assumptions imposed on regression functions to ensure guaranteed convergence. As a practical example, we use a “Twin Rotor MIMO System” laboratory bench which model is given by a nonlinear multi-channel system with cross-couplings. Significant improvement of the transient behavior for the new parameter estimator is demonstrated via representative simulation results.\",\"PeriodicalId\":354557,\"journal\":{\"name\":\"2022 30th Mediterranean Conference on Control and Automation (MED)\",\"volume\":\"313 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 30th Mediterranean Conference on Control and Automation (MED)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MED54222.2022.9837124\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 30th Mediterranean Conference on Control and Automation (MED)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MED54222.2022.9837124","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Finite Time Convergence Parameter Estimator for Nonlinear MIMO System*
In this paper, we present a finite time convergence (FTC) parameter estimator for a class of non-linear MIMO systems. The designed FTC estimator is based on a continuous-time parameter identification algorithm that was recently proposed by the authors. Compared to the previous solution the new modified estimator doesn’t require the unobvious to achieve in practice assumptions imposed on regression functions to ensure guaranteed convergence. As a practical example, we use a “Twin Rotor MIMO System” laboratory bench which model is given by a nonlinear multi-channel system with cross-couplings. Significant improvement of the transient behavior for the new parameter estimator is demonstrated via representative simulation results.