A passivity based approach to predefined-time stabilization

Bhawana Singh, Shyam Kamal, Nikolaos Athanasopoulos, Wasif Naeem

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)
27 Downloads (Pure)

Abstract

Passivity theory is an efficacious framework in designing control laws, in particular, predefined-time stabilizing control laws. To that end, this paper discusses a predefined-time variant of passivity, associated Lyapunov tools, and basic analysis of this property through feedback interconnection. In particular, a series of predefined-time passivity definitions are discussed which allow to establish a relationship between the passivity framework and predefined-time stability. These definitions are exploited for designing control laws that render a passive system predefined-time stable about an equilibrium point. Moreover, several negative feedback interconnections of these systems are discussed to investigate the predefined-time passivity properties and predefined-time stability of an equilibrium point (when external inputs are zero). The efficacy of the proposed results is illustrated through academic and realistic examples, and comparison is also done with other existing methods.
Original languageEnglish
Title of host publicationProceedings of the 22nd World Congress of the International Federation of Automatic Control, IFAC 2023
PublisherElsevier
Pages8536-8541
Number of pages6
Volume56
Edition2
DOIs
Publication statusPublished - 22 Nov 2023
Event22nd World Congress of the International Federation of Automatic Control 2023 - Yokohama, Japan
Duration: 09 Jul 202314 Jul 2023
https://www.ifac2023.org/

Publication series

NameIFAC-PapersOnLine
ISSN (Print)2405-8971
ISSN (Electronic)2405-8963

Conference

Conference22nd World Congress of the International Federation of Automatic Control 2023
Abbreviated titleIFAC 2023
Country/TerritoryJapan
CityYokohama
Period09/07/202314/07/2023
Internet address

Fingerprint

Dive into the research topics of 'A passivity based approach to predefined-time stabilization'. Together they form a unique fingerprint.

Cite this