In this paper, a node-base susceptible-infectedrecovered-
susceptible (SIRS) model on heterogeneous networks
is proposed. The condition for global exponential stability of
the origin in the disease-free case is obtained via Lyapunov
theory. Furthermore, aiming at regulating the probabilities of
being infected and recovered to desired values, the controlled
recovering rates are designed. Taking practical implementation
into consideration, an alternative approach is provided to
calculate the feasible control inputs. Finally, several numerical
simulations validate our results.
«
In this paper, a node-base susceptible-infectedrecovered-
susceptible (SIRS) model on heterogeneous networks
is proposed. The condition for global exponential stability of
the origin in the disease-free case is obtained via Lyapunov
theory. Furthermore, aiming at regulating the probabilities of
being infected and recovered to desired values, the controlled
recovering rates are designed. Taking practical implementation
into consideration, an alternative approach is provided to
calculate t...
»