Robust tracking controller design with guaranteed success rate: A stochastic distribution control approach

Output variable falls in a specified interval with a certain probability control problem for the output stochastic distribution control (SDC) systems, where those systems associate with the model parameters uncertainty and random disturbance, is considered in this paper. This problem can be transferred into a robust tracking control problem with a distribution tracking errors upper bound constrained by the output PDFs being approximated B-spline neural network. A controller design method, linear matrix inequality (LMI) method, is used to this output SDC system. Finally, Simulations are included to show the feasibility and effectiveness of the proposal control algorithm, and encouraging results have been obtained.