Global Mittag-Leffler stability and synchronization of discrete-time fractional-order delayed quaternion-valued neural networks

This paper is devoted to investigating discrete-time fractional-order delayed quaternion-valued neural networks (DFDQNNs) by utilizing direct quaternion approach. Firstly, a novel lemma and its two corre-sponding corollaries have been proposed for estimating nabla fractional difference of the quaternion-valued Lyapunov function. Then, the existence and uniqueness of equilibrium point for DFDQNNs is proved by constructing a new quaternion-valued contraction mapping. In addition, by means of our designed Lyapunov functions and the effective feedback controller as well as neoteric nabla difference inequalities, some sufficient criteria have been obtained to ensure the global Mittag-Leffler stability and Mittag-Leffler synchronization of DFDQNNs, respectively. Finally, some numerical examples are pro-vided to verify the yielded results. (c) 2022 Elsevier B.V.

Automated summary

This paper investigates discrete-time fractional-order delayed quaternion-valued neural networks (DFDQNNs) using the direct quaternion approach. A novel lemma and its corresponding corollaries are proposed for estimating the nabla fractional difference of the quaternion-valued Lyapunov function. The existence and uniqueness of equilibrium point for DFDQNNs are proved by constructing a new quaternion-valued contraction mapping. Sufficient criteria for global Mittag-Leffler stability and Mittag-Leffler synchronization of DFDQNNs are obtained using designed Lyapunov functions, effective feedback controller, and neoteric nabla difference inequalities. Numerical examples are provided to verify the results.