404
Views
15
CrossRef citations to date
0
Altmetric
Original Articles

Decentralised robust H control of fractional-order interconnected systems with uncertainties

&
Pages 1221-1229 | Received 31 May 2015, Accepted 10 Jun 2016, Published online: 11 Aug 2016
 

ABSTRACT

The decentralied robust H control problem is considered for fractional-order interconnected systems subject to time-invariant norm-bounded uncertainties in the system, control input and interconnection matrices. First, sufficient conditions for designing a decentralised robust H state feedback controller to guarantee that the closed-loop fractional-order interconnected systems are asymptotically stable with prescribed H performance for all admissible uncertainties are given in terms of linear matrix inequalities. Second, a convex optimisation problem with linear matrix inequality constraints is formulated to design a decentralised robust H state feedback controller with lower gains. Finally, one illustrative example is given to demonstrate the effectiveness of the proposed theoretical results.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was partially supported by the National Natural Science Foundation of China [grant number 60974002], [grant number 61374030], [grant number 61533012].

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.