Non-fragile Finite-time Stabilization for Discrete Mean-field Stochastic Systems

In this paper, the problem of non-fragile finite-time stabilization for linear discrete mean-field stochastic systems is studied. The uncertain characteristics in control parameters are assumed to be random satisfying Bernoulli distribution. A new approach called “state transition matrix method” introduced and some necessary sufficient conditions derived solve underlying problem. Lyapunov theorem based on state also makes a contribution theory. One practical example provided validate effectiveness newly proposed strategy.