An Application of System Identification Method on a Regional Economic System

Author

Zheng Shi ; Jin Xia ; Zheng Wen

Author_Institution

Sch. of Econ. & Manage., Dalian Nat. Univ., Dalian

fYear

2007

fDate

21-25 Sept. 2007

Firstpage

3875

Lastpage

3878

Abstract

The purpose of this paper is to realize fuzzy control in regional economy. This paper presents a new idea of system identification based on fuzzy evaluation. It applies with parametric estaimation to analyze data of the input and the output in the unlinear system, then selects a regional economic system model from lots of unlinear models by means of system identification method. The result is that ARX117 model is the best one and the IV Estimation Method is suggested to be used. Since this ARX model can reflect the complex feature of regional economic system by integration of experts´ knowledge. We can design the most reasonable fuzzy controller for the regional system.

Keywords

autoregressive processes; economics; fuzzy control; nonlinear systems; parameter estimation; ARX117 model; data analysis; fuzzy control; fuzzy evaluation; parametric estimation; regional economic system model; system identification; unlinear system; Content addressable storage; Control systems; Data analysis; Econometrics; Fuzzy control; Fuzzy systems; Mathematical model; Nonlinear systems; Parametric statistics; System identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-1311-9

Type

conf

DOI

10.1109/WICOM.2007.958

Filename

4340733