基于系统辨识的系统模型  

System Modeling Based on the System Identification

作　　者：向晓燕[1] 蒋效会[2] XIANG Xiao-yan, JIANG Xiao-hui （1. College of Physical Science and Information Engineering, Jishou University. Jishou 416000, China; 2.College of Mathematics and Computer Science, Jishou University, Jishou 416000, China）

机构地区：[1]吉首大学物理科学与信息工程学院,湖南吉首416000 [2]吉首大学数学与计算机科学学院,湖南吉首416000

出　　处：《电脑知识与技术》2008年第6期1286-1288,共3页Computer Knowledge and Technology

摘　　要：在对控制系统的分析和设计中，首先必须对系统进行建模讨论。通常的数学模型有三类：根据控制过程内的机理等规律建立模型的方法、通过控制过程输入输出数据确定过程模型结构和参数的建模方法、第三种是介于两者之间的建模方法。通常也称为白箱、黑箱和灰箱模型。本文主要针对第三种灰箱模型，从系统辨识的角度讨论了系统建模的类型。In analysing and designing of the control system, the most important is modeling. Mathematical models usually has three cate- gories. The first model building method is according to the mechanism in control process. The second is based on the input and output data of controlling process to model the structure and parameters. The third one is between modeling methods above.Them usually called white box, black-box and grey box model. The methods of system identification are briefly intruduced. And significant types of mathematical model are manly investigated.

关 键 词：系统建模 系统辨识 参数估计 参数模型 非参数模型 

分 类 号：TP391[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]