Generalized Projective Synchronization between Two Different Neural Networks with Mixed Time Delays

Abstract EN

The generalized projective synchronization (GPS) between two different neural networks with nonlinear coupling and mixed time delays is considered.

Several kinds of nonlinear feedback controllers are designed to achieve GPS between two different such neural networks.

Some results for GPS of these neural networks are proved theoretically by using the Lyapunov stability theory and the LaSalle invariance principle.

Moreover, by comparison, we determine an optimal nonlinear controller from several ones and provide an adaptive update law for it.

Computer simulations are provided to show the effectiveness and feasibility of the proposed methods.