Some problems with the design of self-learning open-loop control systems

In this paper some problems in the design of open-loop control systems for complex objects are discussed. Considering the absence of adequate models and the fact that human expertise in the control of non-stationary objects becomes obsolete quickly, the use of self-learning together with a two-step optimization for the development of on-line open-loop control rules is suggested. To prepare for the object analysis, a set of definitions has been proposed. Traditional and fuzzy sets (see Zadeh and Sugeno) approaches are used in the analysis.