ROBUST H ∞ TRACKING CONTROL FOR THE NON–GAUSSIAN STOCHASTIC DISTRIBUTION SYSTEMS

This paper considers the design problem of a novel H ∞ controller for the non–Gaussian Stochastic distribution system. The non–Gaussian Stochastic distribution control aims to control the shape of the system output probability density function(PDF) to track the shape of the target probability density function for non-Gaussian stochastic distribution systems.the PDF tracking control is transformed into a constraint tracking control problem for weight vector by B-spline expansion with modeling errors and the nonlinear weight model with exogenous disturbances. A design approaches H ∞ controller are provied to fulfill the PDF tracking problem. Finally,number examples are given to illustrate that the proposed method can guaranteed the performances of stability,tracking and robustness as well as the state constraint simultaneously