摘要
集结的思想和方法在大系统降维中具有十分重要的作用.本文基于通常采用的精确集结条件─—观测型集结,推导出理想集结条件的另一种形式─—控制型集结,同时给出在控制型集结条件下进行系统降维的直接迭代方法(简称DI法),并讨论了控制型集结模型及其用DI法所得简化模型的有关性质.
The concept and method of aggregation have very important use in model reducation of large scale systems.This paper gives another aggregation condition based on the usual one,which are called observable-like and controllable-like aggregation conditions.The direct iterate method of controllable-like aggregation is given and the characters of the corresponding reduced model are discussed.
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
1994年第4期63-67,共5页
Journal of Shanghai Jiaotong University
关键词
大系统
模型降维
集结
直接失代法
large scale system,model reducation, aggregation, sub-eigenspace