Publication Cover
Mathematical and Computer Modelling of Dynamical Systems
Methods, Tools and Applications in Engineering and Related Sciences
Volume 22, 2016 - Issue 4: Model Order Reduction
936
Views
19
CrossRef citations to date
0
Altmetric
Articles

Balanced truncation model reduction for linear time-varying systems

, &
Pages 267-281 | Received 08 Oct 2015, Accepted 02 Jun 2016, Published online: 30 Jun 2016
 

ABSTRACT

A practical procedure based on implicit time integration methods applied to the differential Lyapunov equations arising in the square root balanced truncation method is presented. The application of high-order time integrators results in indefinite right-hand sides of the algebraic Lyapunov equations that have to be solved within every time step. Therefore, classical methods exploiting the inherent low-rank structure often observed for practical applications end up in complex data and arithmetic. Avoiding the additional effort in treating complex quantities, a symmetric indefinite factorization of both the right-hand side and the solution of the differential Lyapunov equations is applied.

Acknowledgements

This work was supported by the DFG project. The authors would like to thank Maximilian Huber for providing the heated beam example.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

The first two authors were funded by the DFG project ‘Collaborative Research Center/Transregio 96 Thermo-Energetic Design of Machine Tools’. The third author was supported by the DFG project ‘Model reduction for elastic multibody systems with moving interactions’.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access
  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart
* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.