Tracking control for the dynamic links of discrete-time complex dynamical network via state observer

Lizhi Liu, Yinhe Wang and Zilin Gao

Applied Mathematics and Computation, 2020, vol. 369, issue C

Abstract: In this paper, a class of discrete-time complex dynamical networks with time-varying links is regarded to be composed of the nodes subsystem and links subsystem which are mutually coupled. In the existing literatures on complex dynamical networks, the emphasizes is synchronization or stabilization of nodes, the dynamic behaviors of the links between nodes are always ignored. It is noted that the state of links is very important to the networks in practical, such as, the tension value of webs in web-winding system, the relationships between individuals in social network, therefore, discussing the tracking control problem for links subsystem is also of practical significance. Considering the state of links is difficult to be measured accurately in practice applications, this makes it difficult to design the controller. In view of this, a state observer is proposed for the links subsystem modeled mathematically by the Riccati matrix difference equation in this paper. And then the control scheme is proposed for the links subsystem by employing the state observer such that the links subsystem asymptotically converging to the given target. Finally, the simulations are used to show the validity of the method in this paper.

Keywords: Discrete-time complex dynamical network; The links subsystem; The nodes subsystem; State observer; Tracking control (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300319308495
Full text for ScienceDirect subscribers only

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:eee:apmaco:v:369:y:2020:i:c:s0096300319308495

DOI: 10.1016/j.amc.2019.124857

Access Statistics for this article

Applied Mathematics and Computation is currently edited by Theodore Simos

More articles in Applied Mathematics and Computation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().