| Abstract [eng] |
8. Summary (Linear dynamic system optimisation with guided initial conditions) The linear dinamic operating problem with guided initial conditions was solved. The solution of this problem consists of finding the guided function of switching points. Guiding function, according principle of Pontragin, was searched in uniform functions class by piecemeal. The conclusion can be drawn from results and showed calculations that the place in interval of switching points depends on the length of interval, chosen marginal confines, initial guided conditions, but does not depend at all on the step of interval separation. But if we change marginal conditions from inequality to equality, we will see that the place of switched points in the interval does not depend on the length of interval. There were compared the efficiency of Simplex method and adapted method in solving linear dynamic systems with guided marginal conditions. So, we can draw the conclusion that the adapted method is much more effective than Simplex one. This can be explained by a fact that when you solve linear programming problem by adapted method it is not necessary to transform it into canonic linear programming problem. That’s why the structure of data decreases and the initial information about the model is kept. |
