Algorithms for Solution Inference Based on Unified Logical Control Models

Unified forms of knowledge representation models in expert control systems are proposed. It is proved that at quantitative measurement of the characteristics of the state of the controlled object, the problem of deriving a managerial solution is reduced to the investigation of a combinatorial optimization problem with a linear structure and two-sided inequality constraints. An algorithm for solving such problems is given, which implements the idea of directional selection of variants.