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. © 2004 Elsevier Ltd. All rights reserved.
Original language | English |
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Pages (from-to) | 159-162 |
Number of pages | 3 |
Journal | Automatica |
Volume | 41 |
Issue number | 1 |
DOIs | |
Publication status | Published - Jan 2005 |
Keywords
- PI control
- Probability density function (PDF)
- Stability
- Stochastic control
- Tracking control