to stabilize not only periodic motions but also almost periodic ones. Other chaos control methods such as the Pyragas method [70] can also be used for that purpose. It is worth noting that the presented method is appropriate to obtain route to chaos by intermittency [71] in which regular behavior of almost periodic type is interrupted by sporadic bursts of chaotic behavior. According to Watanabe et al. [53] chaos increases the capacity of memorizing in neural networks. One can suppose that chaos with almost periodic motions provides a memory with a larger capacity than that with periodic motions. Therefore, the obtained results may be useful for the theory of neural networks and investigations of brain activities. 16 Figure 7: The stabilized torus of system (5 . 11) + (5 . 14) + (5 . 17) . Figure 6: The application of the OGY control method around the fixed point 2 . 9 / 3 . 9 of the logistic map (5.10) for the stabilization of quasi-periodic motions of the coupled Duffing oscillators (5 . 11) + (5 . 14) + (5 . 17) . The value ε = 0 . 06 is used in the simulation. Control is switched on at t = θ$_{35}$ and switched off at t = θ$_{95}$. 0 20 40 60 80 100 120 140 160 180 200 −1 0 1 t x 2 0 20 40 60 80 100 120 140 160 180 200 −4 −2 0 t y 2 0 20 40 60 80 100 120 140 160 180 200 −6 −4 −2 0 2 4 t z 2 −1 −0.5 0 0.5 1 −4 −3.5 −3 −2.5 −2 −1.5 −1 −4 −3 −2 −1 0 y$_{2}$ x$_{2}$ z 2