Prohorov A. Methods and models of the logistics analysis of decision-making and control processes of the automated multilevel distributed systems

Process of decision-making and control in the automated multilevel distributed system (MDS). Control efficiency raising of automated MDS on the basis of the logistics analysis of control processes with usage of simulation modeling and technology of expert systems of decision-making. The obtained scientific results are: 1) method of knowledge representation, based on multivalued numeration of presence which ensuring the most adequate description of compound objects and processes of MDS; 2) models of knowledge for system representation of MDS at all levels, standard processes and operations, task of definition objects and alternatives relevance; 3) method and algorithms of processing of semantic and pragmatical knowledge at simulation of MDS, allowed to adapt the process of simulation to varying conditions; 4) the knowledge-oriented system simulation model, which has a mechanism of knowledge representation and processing, that allows to adapt it on concrete object or process. The developed methods and models realised in the form of a computer knowledge-oriented system of simulation modeling with expert subsystem of decision-making, which provides rise of quality and reliability of simulation results and control efficiency of MDS. Can be used in the automated control systems of complex systems, and on design stages, exploitation and development of MDS.