Abstract
The analysis of projective synchronization for fractional-order quaternion valued neural networks (FOQVNN) is addressed in this paper. The FOQVNN is separated into four real valued parts through Hamilton rules, enabling its synchronization analysis. Some criteria are formulated by the use of fractional differential inequality techniques; projective synchronization of FOQVNN is implemented by designing suitable hybrid controllers. One numerical example is given to show the feasibility of proposed methods.