@article{Zhu2023, 
author = {Li Zhu and Er-yong Cong and Xian Zhang},
title = {Global exponential stability conditions for quaternion-valued neural networks with leakage, transmission and distribution delays},
year = {2023},
journal = {AIMS Mathematics},
volume = {8},
number = {8},
pages = {19018-19038},
keywords = {global exponential stability, leakage delay, quaternion-valued neural networks, distribution delays, transmission time-varying delays},
url = {https://www.sciopen.com/article/10.3934/math.2023970},
doi = {10.3934/math.2023970},
abstract = {This paper studies the global exponential stability problem of quaternion-valued neural networks (QVNNs) with leakage, transmission, and distribution delays. To address this issue, a direct method based on system solutions is proposed to ensure the global exponential stability of the considered network models. In addition, this method does not need to construct any Lyapunov-Krasovskii functional, which greatly reduces the amount of computation. Finally, a numerical example is given to demonstrate the effectiveness of the proposed results.}
}