196
Views
9
CrossRef citations to date
0
Altmetric
Articles

Finite-region dissipative control for 2-D systems in the Roesser model

, &
Pages 3406-3417 | Received 29 Sep 2017, Accepted 14 Oct 2018, Published online: 11 Nov 2018
 

ABSTRACT

This paper investigates the finite-region dissipative control of two-dimensional (2-D) linear discrete-time Roesser model. Firstly, we define a concept of finite-region (Q,S,R)-μ-dissipativity. Then, by using Lyapunov function and establishing special recursive formulas, a new sufficient condition with a simpler form is formulated which ensures the resulting closed-loop system is finite-region bounded. Based on this, we propose the sufficient condition for finite-region (Q,S,R)-μ-dissipativity of closed-loop system. Furthermore, the sufficient condition that can be verified by linear matrix inequalities (LMIs) for designing the finite-region (Q,S,R)-μ-dissipative state-feedback controller is given. Moreover, the finite-region passive control, finite-region H control and mixed finite-region passive and H control can be obtained as the special cases from the established result. Finally, numerical examples are presented to display the effectiveness of the proposed results.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work is supported by National Natural Science Foundation of China (Grant nos. 61573007 and 61603188).

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 1,413.00 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.