Global dissipativity of fractional-order delayed neural networks with coupling
Xiaoshuai Ding, Jinde Cao · 2017
This paper is devoted to the dissipative analysis for a class fractional-order delayed neural network (NN) with coupling. First, the concept of dissipativity is extended to the fractional-order linearly coupled networks. Then, by means of a comparison principle and a stability result for linear fractional delayed differential equations, together with some inequality strategies, some sufficient criteria are obtained to guarantee the global dissipativity of the concerned nonlinear networks. Finally, the designed numerical example testifies the correctness and the effectiveness of the developed results.