Modeling and Control of Uncertain Nonlinear Systems

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

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.

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 9th International Conference on Intelligent Systems 2018: Theory, Research and Innovation in Applications, IS 2018 - Proceedings
• 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