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||6|
|Journal||Acta Automatica Sinica|
|Publication status||Published - Mar 2005|
- probability density function (PDF)
- predictive control
- B-spline functions
- stochastic distribution