首页> 外文期刊>IEEE Transactions on Automatic Control >Frequency-domain identification of linear systems using arbitrary excitations and a nonparametric noise model
【24h】

Frequency-domain identification of linear systems using arbitrary excitations and a nonparametric noise model

机译:使用任意激励和非参数噪声模型的线性系统的频域识别

获取原文
获取原文并翻译 | 示例
           

摘要

Presents a generalized frequency domain identification method to identify single-input/single-output (SISO) systems combining two previously published extensions in one method: arbitrary but persistent excitations are allowed and a nonparametric noise model is extracted from the same data that are used to identify the system. The method is directly applicable to identification in feedback if an external persistently exciting reference signal is available.
机译:提出了一种通用的频域识别方法,以一种方法结合两个先前发布的扩展来识别单输入/单输出(SISO)系统:允许任意但持久的激励,并从相同的数据中提取非参数噪声模型,该模型用于识别系统。如果外部持续激励参考信号可用,则该方法可直接应用于反馈中的识别。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号