Modelling of complex control systems

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)849-854
Journal / PublicationIFAC Proceedings Volumes (IFAC-PapersOnline)
Volume28
Issue number14
Publication statusPublished - Jun 1995
Externally publishedYes

Conference

Title3rd IFAC Symposium on Nonlinear Control Systems Design 1995
PlaceCanada
CityTAHOE CITY
Period25 - 28 June 1995

Abstract

This paper presents a new modelling method for complex control systems. First, a new system model called a heterogeneous model is proposed. An identification method is given to identify the heterogeneous model. The identification method includes three algorithms; the recursive partitioning algorithm which optimally divides the entire domain of the system variables into a series of subregions, the dynamical structure selecting algorithm which selects the structure of the subsystem on each subregion, and the local model identification algorithm which gives the local analysis model of each subsystem. The entire identification is a recursive scheme which includes two procedures, a forward stepwise procedure to select the terms of the heterogeneous model that contribute sufficiently to the accuracy of the fit, and a backward stepwise procedure to remove the terms of the heterogeneous model that no longer contribute sufficiently to the accuracy of the fit. So the recursive procedure is guaranteed to produce the simplest model of the complex system.

Research Area(s)

  • complex control systems, nonlinear systems, identification and modelling

Citation Format(s)

Modelling of complex control systems. / GAO, S. G. ; FENG, G.

In: IFAC Proceedings Volumes (IFAC-PapersOnline), Vol. 28, No. 14, 06.1995, p. 849-854.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review