The control of stochastic systems for targeting specified probability or statistics has been studied for several decades.Many well-established regulatory control techniques focus only on two quantities, i.e..mean and variance or covariance, as key design targets [1-4].Since the output of a nonlinear stochastic system is usually non-Gaussian, mean and variance or covariance are not enough to characterize the output process.