NDLI: A study on system identification using GA and GMDH network

Content Provider	IEEE Xplore Digital Library
Author	Sakaguchi, A. Yamamoto, T.
Copyright Year	2003
Description	Author affiliation: Dept. of Control Eng., Sasebo Nat. Coll. of Technol., Nagasaki, Japan (Sakaguchi, A.)
Abstract	In designing control systems, it is important to make exact mathematical model of the controlled object. In particular, it is difficult to obtain the mathematical model for nonlinear systems. Therefore, lots of design schemes of nonlinear models have been proposed. As one of them, the group method of data handling (GMDH) network has been proposed as a method to represent such systems. It is a kind of multilayered networks with a structure which is determined through training, and has a feature that the nonlinear dynamics are expressed as a mathematical model. However, since the mathematical model generated by the GMDH network includes several needless terms, it becomes considerably large. In this paper, a new nonlinear modeling scheme using a GMDH and two kinds of GA is proposed. According to the newly proposed scheme, necessary terms in the GMDH network are chosen by using the binary-coded GA, and system parameters are adjusted by using the real-coded GA. Finally, the newly proposed modeling scheme is numerically evaluated on a simulation example.
Sponsorship	IEEE Industrial Electronics Soc
Starting Page	2387
Ending Page	2392
File Size	329301
Page Count	6
File Format	PDF
ISBN	0780379063
DOI	10.1109/IECON.2003.1280618
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-11-02
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	System identification Mathematical model Nonlinear systems Data handling Nonlinear dynamical systems Control systems Nonlinear control systems Artificial neural networks Educational institutions Control system synthesis
Content Type	Text
Resource Type	Article

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