Creation of Databases and Formalization of Knowledge Using Identification of SEMS, Working Under Various Constrains

Problem statement The article is devoted to the development of methods for analysis of databases and formation of knowledge for constrained SEMS by identifying control systems of smart electromechanical systems. Of primary interest are developments in the field of real-time information gathering systems and control of complex physical and technical systems, which in the vast majority of cases are dynamic objects operating under conditions of all kinds of limitations. The article analyzes three directions in the identification of dynamic objects (DO): statistical, multi-functional and intellectual approaches. Modifications of identification methods for dynamic objects with constraints, formulated as problems of mathematical programming, are proposed. Purpose Development of identification methods for dynamic systems such as SEMS, which operate under various constraints. Reducing methods for identifying SEMS with models to a sequence of solving mathematical programming problems with simplified constraints. Results Methods for identifying dynamic control systems for complex objects taking into account various constraints based on a multiple-functional approach, which boil down to solving a sequence of mathematical programming problems. Practical significance The developed identification methods can be used in robotic systems created on the basis of SEMS modules.