Intermittent control for identifying network topology

Zhaoyan Wu

Chaos, Solitons & Fractals, 2024, vol. 179, issue C

Abstract: Topology embodies the structure complexity of dynamical network coupled with interactive individuals and plays a key role in its evolution dynamics. In many practical applications, the topology is assumed to be exactly known. How to identify the unknown topology effectively is always a challenging and important issue. In this paper, we mainly consider the intermittent control for identifying topology of both undirected network and balanced network. The corresponding network estimators with intermittent controllers and novel piecewise parameter updating laws are proposed and the sufficient conditions are derived. Further, we discuss the topology identification of general network under certain assumption.

Keywords: Intermittent control; Network; Topology identification (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960077924000274
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:chsofr:v:179:y:2024:i:c:s0960077924000274

DOI: 10.1016/j.chaos.2024.114476

Access Statistics for this article

Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros

More articles in Chaos, Solitons & Fractals from Elsevier
Bibliographic data for series maintained by Thayer, Thomas R. ().