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Modeling and Control of Uncertain Nonlinear Systems

Jafari, Raheleh; Razvarz, Sina; Gegov, Alexander; Paul, Satyam

Authors

Raheleh Jafari

Sina Razvarz

Alexander Gegov



Abstract

© 2018 IEEE. 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.

Citation

Jafari, R., Razvarz, S., Gegov, A., & Paul, S. (2018). Modeling and Control of Uncertain Nonlinear Systems. https://doi.org/10.1109/IS.2018.8710463

Conference Name 9th International Conference on Intelligent Systems 2018: Theory, Research and Innovation in Applications, IS 2018 - Proceedings
Conference Location Funchal - Madeira, Portugal
Start Date Sep 25, 2018
End Date Sep 27, 2018
Acceptance Date Sep 25, 2018
Online Publication Date May 9, 2019
Publication Date Jul 2, 2018
Deposit Date Mar 9, 2020
Pages 168-173
Series ISSN 1541-1672
ISBN 9781538670972
DOI https://doi.org/10.1109/IS.2018.8710463
Public URL https://uwe-repository.worktribe.com/output/5628858