A hybrid quasi-ARMAX modeling and identification scheme for nonlinear systems

Takayuki Furuzuki, Kotaro Hirasawa, Kousuke Kumamaru

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This paper presents a hybrid quasi-ARMAX modeling and identification scheme for nonlinear systems. It is shown that a general nonlinear ARMAX system can be represented by using a constrained time-variant ARMAX model, whose coefficients are nonlinear functions of input-output variables of system. A hybrid quasi-ARMAX model are then obtained by embedding a group of fuzzy models in the coefficients of the constrained time-variant ARMAX model to describe the time-variant coefficients. One of the distinctive features of the hybrid quasi-ARMAX model is that its parameters to be estimated have useful explicit meanings which can be taken as advantages for setting initial values of parameter estimation and for improving the generalization ability of the model.

Original languageEnglish
Pages (from-to)213-218
Number of pages6
JournalResearch Reports on Information Science and Electrical Engineering of Kyushu University
Issue number2
Publication statusPublished - 1997 Sep
Externally publishedYes



  • Convergence property
  • Fuzzy model
  • Generalization ability
  • Nonlinear systems
  • System modeling and identification
  • Time-variant ARMAX model

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Hardware and Architecture
  • Engineering (miscellaneous)

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