Passivity and passification of quaternion-valued memristive neural networks

In this paper, a class of memristive neural networks with quaternion-valued connection weights is studied. By starting from some basic quaternion-valued algorithms, the quaternion-valued memristive system is obtained; then, some passivity criteria for the memristive neural networks are presented based on some appropriate auxiliary functions. Furthermore, to tackle with the passification problem, two kinds of control protocols are designed. What should be mentioned is that, in the above derived conclusions, the partial order is employed, which can be employed to compare the “magnitude” of two different quaternions, and thus, the closed convex hull consisted by quaternion can be derived correspondingly. In the end, the analytical design are substantiated with two numerical results.