| 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.
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											Authors
												Lei Guo, Hong Wang, 
											