Fractional-Order Vectorial Halanay-Type Inequalities With Applications for Stability and Synchronization Analyses

Peng Liu, Jun Wang*, Zhigang Zeng

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

21 Citations (Scopus)

Abstract

The Halanay inequality is widely used in various time-delayed dynamical systems analyses and its vectorial form has become available recently. In this article, the integer-order vectorial Halanay-type inequality is further extended to fractional-order ones in both time-invariant and time-varying forms. It is shown that the fractional-order vectorial Halanay-type inequalities hold under the derived conditions in the form of M-matrices. In addition, the time-invariant inequalities are applied to analyzing the stability and synchronization of fractional-order systems with two numerical examples to substantiate the theoretical results. © 2022 IEEE.
Original languageEnglish
Pages (from-to)1573-1583
Number of pages11
JournalIEEE Transactions on Systems, Man, and Cybernetics: Systems
Volume53
Issue number3
Online published8 Sept 2022
DOIs
Publication statusPublished - Mar 2023

Funding

This work was supported in part by the Key Project of Science and Technology Innovation 2030 through the Ministry of Science and Technology of China under Grant 2018AAA0100300; in part by the Research Grants Council of the Hong Kong Special Administrative Region of China under the General Research Fund under Grant 11202318, Grant 11202019, and Grant 11203721; in part by the 111 Project on Computational Intelligence and Intelligent Control under Grant B18024; and in part by the National Natural Science Foundation of China under Grant 62076222.

Research Keywords

  • Delay effects
  • Delays
  • Differential equations
  • Fractional-order systems (FoSs)
  • Indexes
  • Numerical stability
  • stability
  • Stability criteria
  • synchronization
  • time delay
  • vectorial Halanay-type inequality

RGC Funding Information

  • RGC-funded

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