Finite-time lag projective synchronization of delayed fractional-order quaternion-valued neural networks with parameter uncertainties
Articles
Weiying Shang
Anqing Normal University
Weiwei Zhang
Nanjing University of Aeronautics and Astronautics
https://orcid.org/0000-0001-5316-9721
Hai Zhang
Anqing Normal University
Hongmei Zhang
Anqing Normal University
Jinde Cao
Southeast University
https://orcid.org/0000-0003-3133-7119
Fawaz E. Alsaadi
King Abdulaziz University
Published 2023-02-22
https://doi.org/10.15388/namc.2023.28.30817
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Keywords

quaternion-valued neural networks
finite-time lag projective synchronization
parameter uncertainties

How to Cite

Shang, W. (2023) “Finite-time lag projective synchronization of delayed fractional-order quaternion-valued neural networks with parameter uncertainties”, Nonlinear Analysis: Modelling and Control, 28(2), pp. 228–249. doi:10.15388/namc.2023.28.30817.

Abstract

This paper discusses a class issue of finite-time lag projective synchronization (FTLPS) of delayed fractional-order quaternion-valued neural networks (FOQVNNs) with parameter uncertainties, which is solved by a non-decomposition method. Firstly, a new delayed FOQVNNs model with uncertain parameters is designed. Secondly, two types of feedback controller and adaptive controller without sign functions are designed in the quaternion domain. Based on the Lyapunov analysis method, the non-decomposition method is applied to replace the decomposition method that requires complex calculations, combined with some quaternion inequality techniques, to accurately estimate the settling time of FTLPS. Finally, the correctness of the obtained theoretical results is testified by a numerical simulation example.

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