Synthesis and Research of Neuro-Fuzzy Model of Ecopyrogenesis Multi-circuit Circulatory System

  • Yuriy P. Kondratenko
  • Oleksiy V. Kozlov
  • Leonid P. Klymenko
  • Galyna V. Kondratenko
Conference paper
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 312)

Abstract

This paper presents the development of the neuro-fuzzy mathematical model of the ecopyrogenesis (EPG) complex multiloop circulatory system (MCS). The synthesis procedure of the neuro-fuzzy model, including its adaptive-network-based fuzzy inference system for temperature calculating (ANFISTC) training particularities with input variables membership functions of different types is presented. The analysis of computer simulation results in the form of static and dynamic characteristics graphs of the MCS as a temperature control object confirms the high adequacy of the developed model to the real processes. The developed neuro-fuzzy mathematical model gives the opportunity to investigate the behavior of the temperature control object in steady and transient modes, in particular, to synthesize and adjust the temperature controller of the MCS temperature automatic control system (ACS).

Keywords

ecopyrogenesis complex multiloop circulatory system neuro-fuzzy mathematical model adaptive-network-based fuzzy inference system membership functions 
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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Yuriy P. Kondratenko
    • 1
    • 2
  • Oleksiy V. Kozlov
    • 2
  • Leonid P. Klymenko
    • 1
  • Galyna V. Kondratenko
    • 1
    • 2
  1. 1.Intelligent Information Systems Department, Ecology DepartmentPetro Mohyla Black Sea State UniversityMykolaivUkraine
  2. 2.Computerized Control Systems DepartmentAdmiral Makarov National University of ShipbuildingMykolaivUkraine

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