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Determining the model order of nonlinear input/output systems

Author(s):

C. Rhodes, M. Morari
Conference/Journal:

vol. AUT97-01
Abstract:

A method for determining the proper regression vector for recreating the dynamics of nonlinear systems is presented. The false nearest neighbors (FNN) algorithm, originally developed to study chaotic time-series, is used to determine the proper regression vector for input/output system identification and inferential prediction using only time-series data. The FNN algorithm for solving these problems is presented, and the problem of analyzing noise corrupted time-series is discussed. The application of the algorithm to a number of examples including an electrical leg stimulation experiment, an industrial pulp digester model, a polymerization model, and a distillation column simulation is presented and the results are analyzed.

Year:

1997
Type of Publication:

(04)Technical Report
Supervisor:



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% Autogenerated BibTeX entry
@TechReport { RhoMor:1997:IFA_431,
    author={C. Rhodes and M. Morari},
    title={{Determining the model order of nonlinear input/output
	  systems}},
    institution={},
    year={1997},
    number={},
    address={},
    url={http://control.ee.ethz.ch/index.cgi?page=publications;action=details;id=431}
}
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