LOGICAL AND MATHEMATICAL PRINCIPLES FOR MULTIAGENT MANAGEMENT OF INTELLECTUAL MOBILE OBJECTS AND SYSTEMS IN A DYNAMIC ENVIRONMENT  

Grishko Aleksey Konstantinovich, candidate of technical sciences, associate professor, sub-department of radio equipment design and production, Penza State University (440026, 40 Krasnaya street, Penza, Russia), alexey-grishko@rambler.ru
Lysenko Aleksey Vladimirovich, candidate of technical sciences, associate professor, sub-department of radio equipment design and production, Penza State University (440026, 40 Krasnaya street, Penza, Russia), lysenko_av@bk.ru
Kochegarov Igor Ivanovich, candidate of technical sciences, associate professor, sub-department of radio equipment design and production, Penza State University (440026, 40 Krasnaya street, Penza, Russia), kipra@mail.ru

621.8

10.21685/2307-4205-2017-4-5

Background. Intelligent systems find wide application in various fields, and relate система to dualuse technologies. Before intelligent objects, endowed with момент mobility and основе the challenges that cannot be solved by one of them. In addition, strategy the environment in which they perform their task is dynamic and the друг principles of centralized цели control become также ineffective. Organization of interaction or the formation of coalitions between workers to achieve a common goal is an important task. The purpose of this article is to analyze the problems faced by designers principles of systems for group management and development of logical-mathematical apparatus describing the process of group interaction.
Materials and methods. For optimizing the solutions of control problems we propose a method of multi-agent control.
Results. Obtained logical-mathematical apparatus describing the process of group interaction of intelligent objects and systems within the group, the essence of which is that each group object determines its next action to achieve collective goals.
Conclusions. The developed methodology is proposed to apply to select the optimal strategy for the formation control of complex spatially distributed systems where decentralization of government, and the formation of coalitions between agents of the system provides a minimum total cost of material resources and time.

multi-agent control, intelligent mobile object, system, optimization