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Model following adaptive control for the complex dynamic network with the dynamic matrix‐relation links.

Authors :
Li, Xiaoxiao
Wang, Yinhe
Li, Shengping
Source :
International Journal of Adaptive Control & Signal Processing. Aug2023, Vol. 37 Issue 8, p2063-2077. 15p.
Publication Year :
2023

Abstract

Summary: This article formulates and solves a problem of model following adaptive control (MFAC) of nodes in the complex dynamic network (CDN) with the dynamic matrix‐relation links. From the perspective of composite systems, the CDN with the dynamic matrix‐relation links is considered as an interconnected system composed of intercoupling node subsystem (NS) and link subsystem (LS). Based on this idea, employing the Riccati matrix differential equation as the dynamic equation of LS, and the vector differential equation with the second derivative term as the dynamic equation of NS. Then, to remove the restriction that the state of LS is unavailable, an adaptive control scheme is proposed for NS with the help of constructed dynamic auxiliary tracking target for LS, such that the problem of MFAC of nodes is solved. Besides, it is proved mathematically that the state of NS is asymptotically tracking the state of the given reference model when the state of LS is asymptotically tracking the constructed dynamic auxiliary tracking target. Finally, the numerical simulation is given to verify the effectiveness of the theoretical results in this article. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08906327
Volume :
37
Issue :
8
Database :
Academic Search Index
Journal :
International Journal of Adaptive Control & Signal Processing
Publication Type :
Academic Journal
Accession number :
169726072
Full Text :
https://doi.org/10.1002/acs.3626