In the present paper a robust stabilization problem of continuous-time linear dynamic systems with Markov jumps and corrupted with multiplicative (state-dependent) white noise perturbations is considered. The robustness analysis is performed with respect to the intensity of the white noises. It is proved that the robustness radius depends on the solution of an algebraic system of coupled Lyapunov matrix equations.
CITATION STYLE
Dragan, V., Stoica, A. M., & Morozan, T. (2016). A criterion for robust stability with respect to parametric uncertainties modeled by multiplicative white noise with unknown intensity, with applications to stability of neural networks. In IFIP Advances in Information and Communication Technology (Vol. 494, pp. 250–260). Springer New York LLC. https://doi.org/10.1007/978-3-319-55795-3_23
Mendeley helps you to discover research relevant for your work.