Multistability and robustness of complex-valued neural networks with delays and input perturbation.

This paper concentrates on the multistability and robustness of complex-valued neural networks (CVNNs) with delays and input perturbation. Firstly, several criteria on the multiple ψ-type stability of CVNNs with time-varying delays are obtained by virtue of ψ-type function and the analytical method. Secondly, several sufficient conditions of robustness have been derived to guarantee the ψ-type stability and boundedness of delayed CVNNs with input perturbation. These obtained results improve and extend the previous results. Finally, one numerical example is provided to show the effectiveness of the theoretical results.