Cargando…

Double Model Following Adaptive Control for a Complex Dynamical Network

This paper formulates and solves a new problem of the double model following adaptive control (MFAC) of nodes and links in a complex dynamical network (CDN). This is different from most existing studies on CDN and MFAC. Inspired by the concept of composite systems, the CDN with dynamic links is rega...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Xiaoxiao, Wang, Yinhe, Li, Shengping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9857604/
https://www.ncbi.nlm.nih.gov/pubmed/36673256
http://dx.doi.org/10.3390/e25010115
_version_ 1784873906533826560
author Li, Xiaoxiao
Wang, Yinhe
Li, Shengping
author_facet Li, Xiaoxiao
Wang, Yinhe
Li, Shengping
author_sort Li, Xiaoxiao
collection PubMed
description This paper formulates and solves a new problem of the double model following adaptive control (MFAC) of nodes and links in a complex dynamical network (CDN). This is different from most existing studies on CDN and MFAC. Inspired by the concept of composite systems, the CDN with dynamic links is regarded as an interconnected system composed of an interconnected node group (NG) and link group (LG). Guided by the above-mentioned new idea of viewing a CDN from the perspective of composite systems, by means of Lyapunov theory and proposed related mathematical preliminaries, a new adaptive control scheme is proposed for NG. In addition, to remove the restriction that the states of links in a CDN are unavailable due to physical constraints, technical restraints, and expensive measurement costs, we synthesize the coupling term in LG with the proposed adaptive control scheme for NG, such that the problem of double MFAC of nodes and links in CDN is solved. Finally, a simulation example is presented to verify the theoretical results.
format Online
Article
Text
id pubmed-9857604
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-98576042023-01-21 Double Model Following Adaptive Control for a Complex Dynamical Network Li, Xiaoxiao Wang, Yinhe Li, Shengping Entropy (Basel) Article This paper formulates and solves a new problem of the double model following adaptive control (MFAC) of nodes and links in a complex dynamical network (CDN). This is different from most existing studies on CDN and MFAC. Inspired by the concept of composite systems, the CDN with dynamic links is regarded as an interconnected system composed of an interconnected node group (NG) and link group (LG). Guided by the above-mentioned new idea of viewing a CDN from the perspective of composite systems, by means of Lyapunov theory and proposed related mathematical preliminaries, a new adaptive control scheme is proposed for NG. In addition, to remove the restriction that the states of links in a CDN are unavailable due to physical constraints, technical restraints, and expensive measurement costs, we synthesize the coupling term in LG with the proposed adaptive control scheme for NG, such that the problem of double MFAC of nodes and links in CDN is solved. Finally, a simulation example is presented to verify the theoretical results. MDPI 2023-01-05 /pmc/articles/PMC9857604/ /pubmed/36673256 http://dx.doi.org/10.3390/e25010115 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Li, Xiaoxiao
Wang, Yinhe
Li, Shengping
Double Model Following Adaptive Control for a Complex Dynamical Network
title Double Model Following Adaptive Control for a Complex Dynamical Network
title_full Double Model Following Adaptive Control for a Complex Dynamical Network
title_fullStr Double Model Following Adaptive Control for a Complex Dynamical Network
title_full_unstemmed Double Model Following Adaptive Control for a Complex Dynamical Network
title_short Double Model Following Adaptive Control for a Complex Dynamical Network
title_sort double model following adaptive control for a complex dynamical network
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9857604/
https://www.ncbi.nlm.nih.gov/pubmed/36673256
http://dx.doi.org/10.3390/e25010115
work_keys_str_mv AT lixiaoxiao doublemodelfollowingadaptivecontrolforacomplexdynamicalnetwork
AT wangyinhe doublemodelfollowingadaptivecontrolforacomplexdynamicalnetwork
AT lishengping doublemodelfollowingadaptivecontrolforacomplexdynamicalnetwork