Methodology of Complex Objects Structural Dynamics Proactive Management and Control Theory and Its Application

  • Boris SokolovEmail author
  • Vyacheslav Zelentsov
  • Nikolay Mustafin
  • Vadim Burakov
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 95)


Methodological and methodical fundamentals of the complex objects (CO) proactive management and control theory based on the fundamental results obtained in the interdisciplinary field of system knowledge are proposed. The paper provides information on the developed innovative multiple-model complexes, combined methods, algorithms and techniques for solving various classes of problems of operational, structural and functional synthesis and management of the development of the regarded classes of CO. The tasks of controlling the structural dynamics of CO belong to the structural and functional synthesis class of problems and the formation of appropriate programs for managing and control of their development. The main difficulty and a special feature of the solution of the regarded problems is as follows. Determination of optimal control programs for the basic elements and subsystems of CO can be performed only after all functions and algorithms of information processing and control that should be implemented in these elements and subsystems are known. In its turn, the distribution of functions and algorithms by the elements and subsystems of CO depends on the structure and parameters of the control laws of these elements and subsystems. The difficulty of resolving this controversial situation is ex-acerbated by the fact that under the influence of various reasons, the composition and structure of the CO at different stages of their lifecycle changes over time. The given examples of solving practical problems for such subject areas as spacecrafts, logistics, and industrial production.


Complex objects Proactive management and control theory Multiple-model complexes Combine methods Algorithms Structure dynamic control 



The research described in this paper was partially supported by the Russian Foundation for Basic Research (grants 16-29-09482-ofi-m, 17-08-00797, 17-06-00108, 17-01-00139, 17-20-01214, 17-29-07073-ofi-i, 18-07-01272, 18-08-01505, 19–08–00989), state order of the Ministry of Education and Science of the Russian Federation №2.3135.2017/4.6, state research 0073–2019–0004, and International project ERASMUS+ , Capacity building in higher education, # 73751-EPP-1-2016-1-DE-EPPKA2-CBHE-JP.


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Boris Sokolov
    • 1
    • 2
    Email author
  • Vyacheslav Zelentsov
    • 1
  • Nikolay Mustafin
    • 1
  • Vadim Burakov
    • 1
  1. 1.St. Petersburg Institute for Informatics and Automation of the Russian Academy of SciencesSaint PetersburgRussia
  2. 2.St. Petersburg State University of Aerospace InstrumentationSaint PetersburgRussia

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