Identification of Nonlinear System using Extended GMDH algorithm

확장된 GMDH 알고리즘에 의한 비선형 시스템의 동정

  • Kim, Dong-Won (Division of Electrical & Electronic Engineering of Wonkwang Univ.) ;
  • Park, Byoung-Jun (Division of Electrical & Electronic Engineering of Wonkwang Univ.) ;
  • Oh, Sung-Kwun (Division of Electrical & Electronic Engineering of Wonkwang Univ.) ;
  • Kim, Hyun-Ki (Dept. of Electrical Engineering, Suwon Univ.)
  • 김동원 (원광대학교 전기전자공학부) ;
  • 박병준 (원광대학교 전기전자공학부) ;
  • 오성권 (원광대학교 전기전자공학부) ;
  • 김현기 (수원대학교 전기전자정보통신공학부)
  • Published : 1999.11.20

Abstract

The identification of nonlinear system using Extended GMDH(EGMDH) is studied in this paper. The proposed EGMDH algorithm is based on GMDH(Group Method of Data handling) method and its structure is similar to Neural Networks. The each node of EGMDH structure utilizes several types of high-order polynomial such as linear, quadratic and cubic, and is connected as various kinds of multi-variable inputs. As the operating condition changes, the parameters of EGMDH will also change, so the proposed scheme by means of the EGMDH method is capable of adapting rapidly to the changing environment. The simulation result shows that the simple nonlinear process can be modeled reasonably well by the proposed method which are simple but efficient.

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