This paper deals with the research of robustness bounds for system matrices of linear state-space models. These bounds on unstructured uncertainties norm guarantee that the eigenvalues of the perturbed matrix keep on lying in a sector. Several bounds, obtained thanks to different approaches relevant whether to Lyapunov's theory or to the notion of logarithmic norm, are given. Some equivalences and connections between the various bounds are highlighted.