Research
Communication | Open Access
Volume 2021 | Communication ID 93
Volume 2021 | Communication ID 93
On the stability of time-varying systems and application to Cohen-Grossberg neural networks |
Abdelfettah Hamzaoui, Nizar Hadj Taieb, Mohamed Ali Hammami
Received |
Accepted |
Published |
May 15, 2021 |
May 25, 2021 |
July 15, 2021 |
Abstract: In this paper we investigate the practical partial exponential stability of time-varying nonlinear systems. We give a converse Lyapunov theorem and prove robustness of uniform practical partial exponential dissipativity with respect to unbounded external perturbations. Therefore, we generalized some works which are already made in the literature. Furthermore, we consider the Cohen-Grossberg neural networks with variable coefficients and multiple delays as application of our results.