A predictive control strategy is proposed for the shaping of the output probability density function (PDF) of linear stochastic systems. The B-spline neural network is used to set up the output PDF model and therefore converts the PDF-shaping into the control of B-spline weights vector. The Diophantine equation is then introduced to formulate the predictive PDF model, based on which a moving-horizon control algorithm is developed so as to realize the predictive PDF tracking performance.
|Number of pages
|Zidonghua Xuebao/Acta Automatica Sinica
|Published - Mar 2005
- B-spline functions
- Predictive control
- Probability density function (PDF)
- Stochastic distribution control