• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Federation of Automatic Control(IFAC) Workshop on New Technologies for Automation of Metallurgical Industry; 20031011-20031013; Shanghai; CN >IDENTIFICATION OF CONTINUOUS-TIME SYSTEMS WITH UNKNOWN TIME DELAY BY NONLINEAR LEAST-SQUARES AND INSTRUMENTAL VARIABLE METHODS
【24h】

IDENTIFICATION OF CONTINUOUS-TIME SYSTEMS WITH UNKNOWN TIME DELAY BY NONLINEAR LEAST-SQUARES AND INSTRUMENTAL VARIABLE METHODS

机译：非线性最小二乘和仪器变量法识别未知时滞的连续时间系统

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This paper considers the identification problem of continuous-time systems with unknown time delay from sampled input-output data. By using a digital pre-filter, an approximated discrete-time estimation model is first derived, in which the system parameters remain in their original form and the time delay need not be an integral multiple of the sampling period. Then an iterative separable nonlinear least-squares (SEPNLS) method which estimates the time delay and transfer function parameters separably is derived. Furthermore, through investigation of the properties of the SEPNLS estimate, a novel separable nonlinear instrumental variable (SEPNIV) method is also proposed. Simulational results show that the SEPNIV method yields consistent estimates.
机译：本文考虑了从采样输入输出数据中具有未知时延的连续时间系统的辨识问题。通过使用数字预滤波器，首先导出近似的离散时间估计模型，其中系统参数保持其原始形式，并且时间延迟不必是采样周期的整数倍。然后推导了一种可迭代估计的非线性最小二乘迭代方法，该方法可分别估计时间延迟和传递函数参数。此外，通过研究SEPNLS估计的性质，还提出了一种新的可分离非线性工具变量（SEPNIV）方法。仿真结果表明SEPNIV方法得出的估计值是一致的。

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