返回
High-performance conversions between continuous- and discrete-time systems
DOI:10.1016/S0165-1684(01)00065-2.png)
摘要
En 中文
In this paper, a new algorithm for converting an S-domain model to a Z-domain model is proposed. The resultant Z-domain model is much closer to the original S-domain model than that obtained from conventional conversion schemes such as Tustin approximation with or without frequency pre-warping, zero-pole mapping equivalent, and Triangle hold equivalent. The proposed algorithm adopts the standard recursive least squares approach, and it has the following advantages. First, the computation is trivial and can be easily implemented online. Second, it can handle both parametric and non-parametric models, while conventional conversion methods can only handle parametric models. Third, it is very flexible and applicable to Z- to S-domain model conversion, sampling rate selection. re-sampling, time delay system conversion. and model order selection. The superior performance of the method is demonstrated with several simulation examples in this paper. (C) 2001 Elsevier Science B.V. All rights reserved.
Keyword:
discretization
discrete systems
sampling rate
modelling
optimization
AI总结
对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.6
论文数:
10.0K
被引数:
1.7W
机构
暂无机构信息
引用论文
Randomized Double-Blind, Multicenter Study of Prostaglandin E1 in Patients with the Adult Respiratory Distress Syndrome
Chest
IF0

