.png){kind=icon}
返回
System identification and model-based control for distributed parameter systems
.png){kind=icon}
PRE
AI
DOI：10.1016/j.compchemeng.2003.09.035.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
A linear, low-order input/output model is identified for a nonlinear distributed parameter system using a combination of singular value decomposition and the Karhunen Loeve expansion. The model captures the dominant behavior of the system around a nominal operating point. A quadratic dynamic model-based controller (QDMC) is designed based on this low-order model. Sufficient conditions for closed-loop stability are presented and proven. The system identification method and the resulting QDMC controller are demonstrated on a nonlinear multiple-input multiple-output (MIMO) chemical reactor that produces benzene from the hydro-dealkylation of toluene. (C) 2003 Elsevier Ltd. All rights reserved.
Keyword:
empirical eigenfunctions
Karhunen Loeve expansion
singular value decomposition
QDMC
multiple-input multiple-output
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
C
IF:
3.9
论文数:
8.1K
被引数:
1.7W
机构
暂无机构信息
引用论文
.png){kind=icon}
分享收藏
查看更多内容