Robust H ∞ Performance Analysis of Uncertain Large-Scale Networked Systems

Rongxing Guan and Huabo Liu ()
Additional contact information
Rongxing Guan: School of Automation, Qingdao University, Qingdao 266071, China
Huabo Liu: School of Automation, Qingdao University, Qingdao 266071, China

Mathematics, 2023, vol. 11, issue 15, 1-13

Abstract: This paper considers the robust H ∞ performance problem of continuous-time uncertain large-scale networked systems (LSNSs). The systems consist of numerous arbitrarily connected subsystems, each of which has different dynamics. Currently it is computationally difficult to manage systems with the existing lumped analysis method; therefore, exploiting the structural properties of the systems, sufficient conditions are derived for robust H ∞ performance. Based on these results, an analysis condition that depends only on the parameters of each single subsystem is further obtained. Some numerical simulations are proposed to verify the validity and superiority of the developed conditions.

Keywords: large-scale systems; networked systems; uncertain; robust H ? performance (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2227-7390/11/15/3377/pdf (application/pdf)
https://www.mdpi.com/2227-7390/11/15/3377/ (text/html)

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:gam:jmathe:v:11:y:2023:i:15:p:3377-:d:1208941

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().