Fuzzy differential equations for modeling and control of fuzzy systems

Raheleh Jafari, Sina Razvarz, Alexander Gegov

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

A survey of the methodologies associated with the modeling and control of uncertain nonlinear systems has been given due importance in this paper. The basic criteria that highlights the work is relied on the various patterns of techniques incorporated for the solutions of fuzzy differential equations (FDEs) that corresponds to fuzzy controllability subject. The solutions which are generated by these equations are considered to be the controllers. Currently, numerical techniques have come out as superior techniques in order to solve these types of problems. The implementation of neural networks technique is contributed in the complex way of dealing the appropriate solutions of the fuzzy systems.
Original languageEnglish
Title of host publication13th International Conference on Applications of Fuzzy Systems and Soft Computing - ICAFS 2018
EditorsR. A. Aliev, J. Kacprzyk, W. Pedrycz, M. Jamshidi, F. M. Sadikoglu
PublisherSpringer
Pages732-740
Number of pages9
ISBN (Electronic)978-3-030-04164-9
ISBN (Print)978-3-030-04163-2
DOIs
Publication statusPublished - 29 Jan 2019
Event13th International Conference on Applications of Fuzzy Systems and Soft Computing - Warsaw, Poland
Duration: 27 Aug 201828 Aug 2018

Publication series

NameAdvances in Intelligent Systems and Computing
PublisherSpringer
Volume896
ISSN (Print)2194-5357

Conference

Conference13th International Conference on Applications of Fuzzy Systems and Soft Computing
Abbreviated titleICAFS 2018
Country/TerritoryPoland
CityWarsaw
Period27/08/1828/08/18

Keywords

  • Modeling
  • Fuzzy Differential Equation
  • Fuzzy system

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