Advertisement

Methods of Synthesis of Optimal Intelligent Control Systems SEMS

  • A. E. Gorodetskiy
  • V. G. Kurbanov
  • I. L. Tarasova
Chapter
Part of the Studies in Systems, Decision and Control book series (SSDC, volume 49)

Abstract

The article considers methods of optimization of control systems SEMS: mathematical programming, mathematical programming in the ordinal scale, generalized mathematical programming and multi-step generalized mathematical programming. We analyze the complexity and applicability of each method in the synthesis of SEMS. The algorithms to solve these optimization problems.

Keywords

Intelligent control systems Smart electromechanical systems Optimization Mathematical programming 

References

  1. 1.
    Vaisbord, E.M., Zhukovsky, V.I.: Introduction to the Differential Game of Several Persons and Their Application, 304 p. Sovetskoe Radio, Moscow (1980)Google Scholar
  2. 2.
    Isaacs, R.: Differential Games, 479p. Mir, Moscow (1967)Google Scholar
  3. 3.
    Yudin, D.B.: Computational Methods of Decision Theory, 320p. Nauka, Moscow (1989)Google Scholar
  4. 4.
    Tobacco, D., Kuo, B.: Optimal Control and Mathematical Programming, 280p. Nauka, Moscow (1975)Google Scholar
  5. 5.
    Gorodetskiy, A.E, Tarasova, I.L.: Control and Neural Networks, 312p. Publishing House of the Polytechnic. University Press, SPb (2005)Google Scholar
  6. 6.
    Gorodetskiy, A.: Foundations of the Theory of Intelligent Control Systems, 313c. LAP LAMBERT Academic Publishing GmbH @ Co. KG, (2011)Google Scholar
  7. 7.
    Gorodetskiy, A.E., Tarasova, I.L.: Fuzzy Mathematical Modeling Badly Formalized Processes and Systems, 336p. Publishing House of the Polytechnic. University Press, SPb (2010)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • A. E. Gorodetskiy
    • 1
  • V. G. Kurbanov
    • 1
  • I. L. Tarasova
    • 1
  1. 1.Institute of Problems of Mechanical EngineeringRussian Academy of SciencesSaint-PetersburgRussia

Personalised recommendations