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Modeling and Control of Uncertain Nonlinear Systems
Agder University College, Grimstad, Norway.
National Polytechnic Institute, Mexico City, Mexico.
University of Portsmouth, Portsmouth, UK.
National Polytechnic Institute, Mexico City, Mexico.ORCID iD: 0000-0003-4720-0897
2018 (English)Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
IEEE, 2018.
National Category
Computational Mathematics Control Engineering
Identifiers
URN: urn:nbn:se:oru:diva-71800OAI: oai:DiVA.org:oru-71800DiVA, id: diva2:1282102
Conference
9th International Conference on Intelligent Systems, Madeira Island, Portugal, September 25-27, 2018
Available from: 2019-01-24 Created: 2019-01-24 Last updated: 2019-02-01Bibliographically approved

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Paul, Satyam

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
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