285
Views
13
CrossRef citations to date
0
Altmetric
Original Articles

Computational issues for linear periodic systems: paradigms, algorithms, open problems

Pages 1227-1239 | Received 28 Sep 2012, Accepted 31 Jan 2013, Published online: 14 Jun 2013
 

Abstract

Linear periodic systems originate in various control fields involving periodic phenomena. In the beginnings of algorithmic developments for periodic systems, computational detours have been often employed to reduce the computational problems for periodic systems to those for standard systems. Well-known techniques are the employment of lifted representations in discrete-time or the use of periodic generators in continuous-time. New computational paradigms evolved later, whose main ingredients are numerically reliable and efficient algorithms for manipulating matrix products without forming explicitly them, reduction of large-scale structured matrix pencils without building the underlying pencils, computing with discrete-time periodic system models with time-varying state dimensions, or solving periodic matrix differential equations using multiple shooting techniques. The paper will give a succinct overview of all these new developments and will point out some of still existing open computational problems.

Acknowledgements

The algorithm development research of the author between 2002–2008 has been partly supported in the framework of a Swedish Strategic Research Foundation Grant: ‘Matrix Pencil Computations in Computer-Aided Control System Design: Theory, Algorithms and Software Tools’.

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

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,709.00 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.