.png){kind=icon}
返回
Optimal input design for continuous-time system identification
.png){kind=icon}
PRE
AI
DOI：10.1016/j.cnsns.2017.12.013.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In this paper, an optimal input design framework for continuous-time system identification is proposed. The problem is formulated in a convex finite dimensional form. For that purpose, input spectrum is decomposed onto a Laguerre basis and an LMI-problem is solved. The proposed solution is used to compute the optimal spectrum for a fractional system identification. (C) 2018 Elsevier B.V. All rights reserved.
Keyword:
Optimal input design
Experiment planning
Continuous-time system identification
Fractional systems
Basis functions decomposition
Laguerre functions
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:
3.8
论文数:
9.2K
被引数:
1.8W
机构
引用论文
分享收藏Body size preferences and sociocultural influences on attitudes towards obesity among Moroccan Sahraoui women.png)
Body Image
Body ImageIF0
PREAI
分享收藏
分享收藏For model-based control design, closed-loop identification gives better performance对于基于模型的控制设计，闭环识别可提供更好的性能AUTOMATICA
AUTOMATICAIF5.9
PREAI
分享收藏Analytical computation of the H2-norm of fractional commensurate transfer functionsAUTOMATICA
AUTOMATICAIF5.9
PREAI
分享收藏
查看更多内容