Fuzzy Sets Syst. | 2021
Adaptive synchronization for fuzzy inertial complex-valued neural networks with state-dependent coefficients and mixed delays
Abstract
Abstract In this paper, a class of fuzzy inertial complex-valued neural networks with state-dependent coefficients and mixed delays is considered. We construct the model of fuzzy inertial complex-valued neural networks with state-dependent coefficients and mixed delays for the first time. By dividing the fuzzy inertial complex-valued neural networks into real and imaginary parts, the model is converted into two fuzzy inertial real-valued neural networks. Then, we design a novel adaptive controller, and under the action of this controller, synchronization criteria for the fuzzy inertial complex-valued neural networks with state-dependent coefficients and mixed delays are obtained by Lyapunov s stability theory and the differential equation theory with discontinuous right side. Finally, a numerical example is given to show the correctness of results.