Modeling and control of uncertain nonlinear systems

Raheleh Jafari, Sina Razvarz, Alexander Gegov, Paul Satyam

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 equations 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 coefficients and solutions of the fuzzy systems.
Original languageEnglish
Title of host publication2018 International Conference on Intelligent Systems (IS)
PublisherIEEE
Pages168-173
ISBN (Electronic)978-1-5386-7097-2
ISBN (Print)978-1-5386-7098-9
DOIs
Publication statusPublished - 9 May 2019
Event9th International Conference on Intelligent Systems - Madeira Island, Portugal
Duration: 25 Sep 201827 Sep 2018

Publication series

NameIEEE IS Proceedings Series
PublisherIEEE
ISSN (Print)1541-1672

Conference

Conference9th International Conference on Intelligent Systems
Abbreviated titleIS 2018
Country/TerritoryPortugal
CityMadeira Island
Period25/09/1827/09/18

Keywords

  • nonlinear systems
  • uncertain systems
  • fuzzy equations
  • modelling
  • control

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