Synthesis of Intelligent Discrete Algorithms for Estimation with Model Adaptation Based on the Combined Maximum Principle

  • Andrey KostoglotovEmail author
  • Sergey LazarenkoEmail author
  • Igor PugachevEmail author
  • Alexey Yachmenov
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 874)


The paper considers the problem to estimate the parameters of the motion of maneuvering targets. The structure of the filter for estimating the parameters of motion is determined by the mathematical model of the motion. At present time the kinematic models are widely used, but they do not fully correspond to the observed dynamics. This may lead to divergence of the estimation process and failure of the computational procedure. New dynamic filters of the combined maximum principle with the dynamic model of motion possess higher accuracy and stability and smaller amount of computational costs in comparison with common filters. The parametric adaptation of the procedure is carried out using fuzzy logic.


Adaptation Combined maximum principle Estimation Mathematical model Lagrange equation of the second kind Fuzzy logic 


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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Rostov State Transport UniversityRostov-on-DonRussian Federation
  2. 2.Don State Technical UniversityRostov-on-DonRussian Federation

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