Abstract
A method for determining algorithms of stochastic, optimal strategies by means of discrete objects is considered. The minimization and averaging principle is formulated, according to which the searched algorithms result from serial operations of minimization and averaging in order to obtain a quality factor under certain limiting conditions. Based on this principle, it is shown that optimal control realized in a closed system yields better results than open-loop control. A comparison is made of optimal control for the cases of couple and incomplete information about the variable process.
| Translated title of the contribution | Principles of Minimization and Averaging as a Method for the Determination of Algorithms of Statistically Optimal Control. |
|---|---|
| Original language | Polish |
| Pages (from-to) | 447-466 |
| Number of pages | 20 |
| Journal | Arch Automat Telemech |
| Volume | 21 |
| Issue number | 4 |
| Publication status | Published - 1976 |
ASJC Scopus subject areas
- General Engineering
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