Order-reduction method for nonlinear dynamical systems

Access Full Text

Order-reduction method for nonlinear dynamical systems

For access to this article, please select a purchase option:

Buy article PDF
£12.50
(plus tax if applicable)
Add to cart
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)
Add to cart

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
Electronics Letters — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

© The Institution of Electrical Engineers
Published

The presented approach allows a considerable reduction of the system order of medium and large-scale systems without loss of the characteristic system behaviour. Such order-reductions are useful when nonlinear feedback design or fast simulations require a low system order.

Inspec keywords: large-scale systems; modelling; nonlinear systems

Other keywords: order-reductions; characteristic system behaviour; nonlinear systems; fast simulations; system order reduction; order-reduction method; dynamical systems; nonlinear feedback design; medium scale systems; large-scale systems

Subjects: Simulation, modelling and identification

References

    1. 1)
      • E. Eitelberg . Model reduction by minimizing the weighted equation error. Int. J. Control , 1113 - 1123
    2. 2)
      • A. Isidori . (1989) , Nonlinear control systems.
    3. 3)
      • H.-P. Löffler , W. Marquardt . Order reduction of nonlinear differential-algebraic process models. J. Process Control , 32 - 40
    4. 4)
      • O. Föllinger . (1990) , Regelungstechnik.
    5. 5)
      • P. Young . (1984) , Recoursive estimation and time-series analysis.
    6. 6)
      • G.E. Bottomley . A novel approach for stabilizing recoursive least squares niters. IEEE Trans. , 1770 - 1772
    7. 7)
      • W. Weber . Reduktion von Robotermodellen fûr die nichtlineare Regelung. Automatisierungstechnik , 410 - 415
http://iet.metastore.ingenta.com/content/journals/10.1049/el_19920416
Loading

Related content

content/journals/10.1049/el_19920416
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading