In this paper, we study a class of nonautonomous cellular neural networks with reaction-diffusion terms. By employing the method of variation parameter, applying inequality technique and introducing a lot of real parameters, we present some sufficient conditions ensuring the boundedness and globally exponential stability of the solutions for nonautonomous cellular neural networks with reaction-diffusion terms. The results obtained extend and improve the earlier publications. Finally, three examples with their numerical simulations are provided to show the correctness of our analysis.
This paper considers dynamical behaviors of a class of fuzzy ::: impulsive reaction-diffusion delayed cellular neural networks ::: (FIRDDCNNs) with time-varying periodic self-inhibitions, ::: interconnection weights, and inputs. By using delay differential ::: inequality, -matrix theory, and analytic methods, some new ::: sufficient conditions ensuring global exponential stability of the ::: periodic FIRDDCNN model with Neumann boundary conditions are ::: established, and the exponential convergence rate index is ::: estimated. The differentiability of the time-varying delays is not ::: needed. An example is presented to demonstrate the efficiency and ::: effectiveness of the obtained results.
Purpose ::: Is onset of symptoms in AV nodal re-entrant tachycardia (AVNRT) and accessory pathway-mediated re-entrant tachycardia (AVRT) patients gender-specific?