Artificial Intelligence and Decision Making
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Artificial Intelligence and Decision Making, 2015, Issue 3, Pages 18–33 (Mi iipr328)  

Modelling of behaviour and planning

Architecture of the multilayered intelligent control system for unmanned aerial vehicles

D. A. Makarov, A. I. Panov, K. Yakovlev

Federal Research Center "Computer Science and Control" of Russian Academy of Sciences, Moscow
Abstract: A range of tasks related to multirotor unmanned aerial vehicles’ (UAVs’) control automation is examined in the paper. A bundle of planning and control methods are proposed and the task of organizing various methods (both newly suggested and known) into a single, integrated UAV control system is addressed. Control process is decomposed into the three layers (levels) and the corresponding architecture is described – STRL architecture (strategic, tactical, reactive, layered). We believe that utilization of the proposed architecture will broad the spectrum of tasks which can be solved by the UAVs coalition in an automated fashion.
Keywords: multilayered architecture, intelligent control system, unmanned aerial vehicle, sign world model, path planning, non-linear control, Riccati equation.
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: D. A. Makarov, A. I. Panov, K. Yakovlev, “Architecture of the multilayered intelligent control system for unmanned aerial vehicles”, Artificial Intelligence and Decision Making, 2015, no. 3, 18–33
Citation in format AMSBIB
\Bibitem{MakPanYak15}
\by D.~A.~Makarov, A.~I.~Panov, K.~Yakovlev
\paper Architecture of the multilayered intelligent control system for unmanned aerial vehicles
\jour Artificial Intelligence and Decision Making
\yr 2015
\issue 3
\pages 18--33
\mathnet{http://mi.mathnet.ru/iipr328}
\elib{https://elibrary.ru/item.asp?id=24876389}
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  • https://www.mathnet.ru/eng/iipr328
  • https://www.mathnet.ru/eng/iipr/y2015/i3/p18
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