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...     »