Logic-dynamic model and algorithms of operation complex planning of active mobile objects automated control system

  • Boris Sokolov  ,
  • Aleksandr Kovalev  ,
  • c  Vladimir Kalinin  , 
  • Evgeniy Minakov  , 
  • Dmitriy Petrovskiy  
  • a, b SPIIRAS— St. Petersburg Institute of Informatics and Automation, Russian Academy of Sciences,
    14th line 39, St. Petersburg, 199178, Russia
  • c, dMilitary-space academy, Gdanovskaya str., 13, St. Petersburg, 197198, Russia
  • NRUHSE(SPb) — National Research University Higher School of Economics
Cite as
Sokolov B., Kovalev A., Kalinin V., Minakov E., Petrovskiy D. (2018). Logic-dynamic model and algorithms of operation complex planning of active mobile objects automated control system. Proceedings of the 30th European Modeling & Simulation Symposium (EMSS 2018), pp. 59-67. DOI: https://doi.org/10.46354/i3m.2018.emss.009

Abstract

This article discusses the results of solving the problems of constructing an integrated schedule of active moving objects automatic control system (AMO ACS), which are based on proposed new approached to active mobile objects automated control system complex modeling. The main advantage of complex modeling (CM) is that the combined use of alternative models, methods and algorithms allows to compensate their objectively existing shortcomings and limitations while enhancing their positive qualities. In the paper, this advantage of CM is illustrated by the example of interconnection AMO ACS analytical logic-dynamic model for planning and scheduling with Petri net simulation model of possible scenarios for the implementation of the corresponding plans under conditions of various kinds of disturbing influences.

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