asymptotic synchronization of state trajectories for two non-identical BAM neural networks. Lyapunov stability theory and Barbalat’s lemma are used to guarantee the synchronization of response and drive systems. Finally, an illustrative example is given...

Various models of emotional learning in mammalian brain have inspired a number of cognitive control and decision-making paradigms to date. These architectures are promising in terms of their learning ability and low ...

conditions are used to

propose the RNN model. Moreover, the Lyapunov stability and

the global convergence of the RNN model are also confirmed.

Finally, three illustrative examples are presented to demonstrate

the effectiveness...

nonlinear surface as well as a new CFO switching function. The stability of the CFO controller is proved by means of the Lyapunov stability theorem. The simulation results show the improvement in the developed controller in terms of faster convergence speed...

and parametric ncertainties. The global stability closed loop system is proved analytically via Lyapunov stability theory. The erformance of the proposed method is compared with PID controller....

and the Lyapunov stability of system are proved in this research. Finally, a numerical simulations is given to show the performance of the proposed approach....

In the presence research, we are going to obtain the solution of the fuzzy nonlinear programming problems -FNLP-. Our focus on the paper is to give a recurrent neural network model to solve the FNLP. Besides, the global convergence and the Lyapunov...

Abstract:

In this paper, a neurodynamic model is given to solve nonlinear pseudo-monotone projection equation. Under pseudo-monotonicity condition and Lipschitz continuous condition, the projection neurodynamic model ...