Model Predictive Control of Skeboå Water system
This thesis is a study of model predictive control of water levels and flows in a water ::: system. The water system studied includes five lakes and six dams that are regulated ::: manually by sluice-gates ...
In order to omissions the errors of self-variables, the forecast value of self-variables is obtained by multi-variables grey forecast model. And then the improvement model of multiple linear regressions is presented. Finally, the example shows this improvement model has more predictable precision.