Observer-based output feedback synchronisation control of delayed complex dynamical networks with two-channel dynamic event-triggered schemes and quantisations

Yujing Shi and Bolei Dong

International Journal of Systems Science, 2020, vol. 51, issue 13, 2483-2499

Abstract: Based on a distributed state observer, the problem of output feedback synchronisation control for a class of discrete-time delayed complex dynamical networks is studied. In order to solve the energy consumption and communication constraints, dynamic event-triggered mechanisms on sensor and controller sides are proposed by introducing two internal dynamical variables, respectively. Compared with traditional static event-triggered schemes, it effectively reduces the frequency of controller and observer update. Meanwhile, the effects of quantisation occurring in both input and output channels are considered. By means of the linear matrix inequality approach, the distributed state observer and output feedback controller of delayed complex dynamical networks can be designed simultaneously. The exponentially ultimately boundedness of synchronisation errors and estimation errors of complex dynamical networks is guaranteed via the Lyapunov stability theory. Finally, the circuit realisations for the proposed dynamic event-triggered synchronisation control approach are given, and the effectiveness of the obtained theoretical results is demonstrated through the simulation.

Date: 2020
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/00207721.2020.1797227 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tsysxx:v:51:y:2020:i:13:p:2483-2499

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TSYS20

DOI: 10.1080/00207721.2020.1797227

Access Statistics for this article

International Journal of Systems Science is currently edited by Visakan Kadirkamanathan

More articles in International Journal of Systems Science from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().