QUASI-PROJECTIVE SYNCHRONIZATION ANALYSIS FOR DELAYED STOCHASTIC QUATERNION-VALUED NEURAL NETWORKS VIA STATE-FEEDBACK CONTROL STRATEGY
Zhouhong Li, Xiaofang Meng, Kaipeng Hu, Fei Yu · Journal of Applied Analysis & Computation · 2024
In this paper, we explore the complete synchronization and quasi-projective synchronization in a class of stochastic delayed quaternion-valued neural networks, utilizing a state-feedback control scheme. The studied neural networks into real-valued networks are short of known decomposing, by designing a very general nonlinear controller, according to the quaternion form It? formula with a number of inequality techniques in the configuration of quaternion domain, we obtained a quasi-projective synchronization criterion for drive-response networks. Moreover, we estimate the error margin for quasi-projective synchronization. At last, the theoretical results are confirmed by a numerical simulation.