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Introduction to Optimization

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Nonlinear System Identification

Abstract

This chapter gives an introduction to optimization from the viewpoint of modeling and identification. The whole of Part I deals with different optimization approaches that allow one to determine the model parameters and possibly the model structure from measurement data for a given model architecture. Suitable model architectures for static and dynamic processes are treated in Part II and Part III, respectively. Although there exist close links (some of historical character) between special model architectures and special optimization techniques, it is very important to distinguish carefully between the model on the one hand and the optimization technique used for parameter and structure determination on the other hand.

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© 2001 Springer-Verlag Berlin Heidelberg

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Nelles, O. (2001). Introduction to Optimization. In: Nonlinear System Identification. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-04323-3_2

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  • DOI: https://doi.org/10.1007/978-3-662-04323-3_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-08674-8

  • Online ISBN: 978-3-662-04323-3

  • eBook Packages: Springer Book Archive

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