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In this paper, we study reaction-diffusion Cohen-Grossberg neural networks with Dirichlet boundary conditions and distributed delays. By using topology degree theory and constructing suitable Lyapunov functional, some sufficient conditions are given to ensure the existence, uniqueness and globally exponential stability of the equilibrium point. Finally, an example is given to verify the theoretical...
In this paper, we study reaction-diffusion Cohen-Grossberg neural networks with time-varying delays. Under the Dirichlet boundary condition, by constructing Lyapunov functional method, some sufficient conditions are given to ensure the exponential stability of the periodic solution. Finally, a numerical example is given to verify the theoretical analysis.
In this paper, we study reaction-diffusion neural networks with distributed delays. Some sufficient conditions are given to ensure the synchronization of the drive-response neural networks. Finally, an example is given to verify the theoretical analysis.
In this paper, we study reaction-diffusion high-order Cohen-Grossberg neural networks with delays and variable coefficient. Under the Dirichlet boundary condition, by using topology degree theory and constructing Lyapunov functional method, some sufficient conditions are given to ensure the existence, uniqueness and globally exponential stability of the equilibrium point. Finally, a numerical example...
In order to improve low speed performance of sensor-less direct torque control (DTC) system, an self-adaptive ant colony optimization (AACO) is proposed to optimize Speed Estimator (SE) based on wavelet neural network (WNN) in this paper. The ant colony applying space grids and adaptive changing enduring coefficient will be used to optimize SE based on WNN. Draw many grids in the general area of scale,...
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