Model reduction of weakly nonlinear systems
Condon, Marissa and Grahovski, Georgi G. (2009) Model reduction of weakly nonlinear systems. In: WCE 2008 - World Congress on Engineering, 2-4 July 2008, London, UK. ISBN 978-90-481-2310-0
This is the latest version of this item.
Full text available as:
In general, model reduction techniques fall into two categories — moment —matching and Krylov techniques and balancing techniques. The present contribution is concerned with the former. The present contribution proposes the use of a perturbative representation as an alternative to the bilinear representation . While for weakly nonlinear systems, either approximation is satisfactory, it will be seen that the perturbative method has several advantages over the bilinear representation. In this contribution, an improved reduction method is proposed. Illustrative examples are chosen, and the errors obtained from the different reduction strategies will be compared.
Available Versions of this Item
Archive Staff Only: edit this record