Key Words:EXPONENTIAL STABILITY; DISCRETE; STABILIZATION; SYNAPSE
Abstract:Based on a continuous model of memristors, memristive neural networks with interval delays are described in the flux-voltage-time domain. Considering memristors as uncertain parameters, the systems are reduced to neural networks with parameter uncertainties. Then, nonzero quasi-equilibrium points and the quasi-stability are first proposed for memristive neural networks with interval delays, which provide a new approach to study the boundedness of solutions. Quasi-stability criteria are derived by poly-topic uncertainty method and norm-bounded uncertainty method, respectively. Finally, an example is given to show the effectiveness of our theorems.
Volume:148
Issue:
Translation or Not:no