Global Practical Sampled-data for a Class of Stochastic Nonlinear Systems

In this paper, we mainly study the global tracking problem for stochastic systems by the sampled data state feedback control. Under the condition of lower-triangular, the sampled data state feedback controller is constructed to make the states globally bounded, and the error between the system output and the reference signal is less than the specified allowable value. At the same time stochastic phenomenon is considered in the nonlinear system. The global tracking performance and stochastic stability are both achieved simultaneously.