Skip to main content
SpringerLink
Log in

Model Building for Control System Synthesis

  • Reference work entry
  • First Online:
Encyclopedia of Systems and Control

  • 190 Accesses

Abstract

The process of developing control-oriented mathematical models of physical systems is a complex task, which in general implies a careful combination of prior knowledge about the physics of the system under study with information coming from experimental data. In this article the role of mathematical models in control system design and the problem of developing compact control-oriented models are discussed.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 899.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 549.99
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

Bibliography

  • Antoulas A (2009) Approximation of large-scale dynamical systems. SIAM, Philadelphia

    Google Scholar 

  • Hecker S, Varga A (2006) Symbolic manipulation techniques for low order LFT-based parametric uncertainty modelling. Int J Control 79(11): 1485–1494

    MathSciNet  Google Scholar 

  • Hecker S, Varga A, Magni J-F (2005) Enhanced LFR-toolbox for MATLAB. Aerosp Sci Technol 9(2):173–180

    Google Scholar 

  • Klein V, Morelli EA (2006) Aircraft system identification: theory and practice. AIAA, Reston

    Google Scholar 

  • Ljung L (1999) System identification: theory for the user. Prentice-Hall, New Jersey

    Google Scholar 

  • Ljung L (2008) Perspectives on system identification. In: 2008 IFAC world congress, Seoul

    Google Scholar 

  • Lopes dos Santos P, Azevedo Perdicoulis TP, Novara C, Ramos JA, Rivera DE (eds) (2011) Linear parameter-varying system identification: new developments and trends. World Scientific, Singapore

    Google Scholar 

  • Lovera M (ed) (2014) Control-oriented modelling and identification: theory and practice. IET, London

    Google Scholar 

  • Mohammadpour J, Scherer C (eds) (2012) Control of linear parameter varying systems with applications. Springer, New York

    Google Scholar 

  • Skogestad S, Postlethwaite I (2007) Multivariable feedback control analysis and design. Wiley, Chichester/New York

    Google Scholar 

  • Tiller M (2001) Introduction to physical modelling with Modelica. Kluwer, Boston

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Politecnico di Milano, Milan, Italy

    Marco Lovera & Francesco Casella

Authors
  1. Marco Lovera
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Francesco Casella
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Mechanical Engineering, Electrical and Computer Engineering, Boston University, Boston, MA, USA

    John Baillieul

  2. Honeywell Automation and Control Solutions, Golden Valley, MN, USA

    Tariq Samad

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer-Verlag London

About this entry

Cite this entry

Lovera, M., Casella, F. (2015). Model Building for Control System Synthesis. In: Baillieul, J., Samad, T. (eds) Encyclopedia of Systems and Control. Springer, London. https://doi.org/10.1007/978-1-4471-5058-9_141

Download citation

Publish with us

Policies and ethics

Search

Navigation