Skip to main content

Introduction to Optimization

  • Chapter
Nonlinear System Identification


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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

USD 9.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Author information

Authors and Affiliations


Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Nelles, O. (2001). Introduction to Optimization. In: Nonlinear System Identification. Springer, Berlin, Heidelberg.

Download citation

  • DOI:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-08674-8

  • Online ISBN: 978-3-662-04323-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics