92
Views
3
CrossRef citations to date
0
Altmetric
Original Articles

Stabilising switching law to minimise return ratio with two linear planar subsystems

Pages 976-986 | Received 22 Apr 2013, Accepted 01 Nov 2013, Published online: 20 Dec 2013
 

Abstract

This article deals with the stabilisation problem for the switched system composed of two planar linear subsystems via characterising the construction of the optimally arranged switching surfaces. To this end, we first explain the stabilisation mechanism in terms of return ratio and define the most stable trajectory by means of minimising the return ratio. Then we identify the most stable trajectory according to the geometric construction that its turning points constitute the subspaces where the fields of two subsystems are linearly dependent. This observation renders a constructive way to determine the optimally arranged switching surfaces and, therefore, enables us to examine the stabilisability in a necessary and sufficient sense. Finally, we use classical examples to demonstrate the theoretical results.

Acknowledgements

The author would like to thank the anonymous referees for their valuable comments that helped in improving the article.

Additional information

Funding

This work is supported by Reserve Talents of Universities Overseas Research Program of Heilongjiang.

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.