Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10399292 | Automatica | 2005 | 4 Pages |
Abstract
A new control approach is proposed for the probability density function (PDF) control of non-Gaussian stochastic systems using PI controllers. Using the square root output PDF model and the weight dynamics, the PDF tracking is transformed to a constrained dynamical tracking control problem for weight dynamics, where LMI techniques are used to design a generalized PI controller such that stability, state constraints and tracking performances can be guaranteed simultaneously.
Related Topics
Physical Sciences and Engineering
Engineering
Control and Systems Engineering
Authors
Lei Guo, Hong Wang,