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Paper
Title

Chaotification of Discrete Dynamical Systems Governed by Continuous Maps and Evolved Fuzzy NN Control

مجله بهینه سازی و مدل سازی فازی، دوره: 2، شماره: 2
Year: 1399
COI: JR_FOMJ-2-2_004
Language: EnglishView: 48
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Authors

Tim Chen, YC Huang, J CY Chen - Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City, Vietnam

Abstract:

The truth of the false extraction method of digital control system is developed in the false reality to overcome the challenge and continue to design controllers for real systems. However, the scheme to control the false extraction of real system is complex, so it is not suitable for use in practice. In order to verify the asymptotic state with a false reality can be considered by discrete systems, this article calculates a neural neural network (NN) controller with a mean bat algorithm. This view of this evolved fuzzy NN control is performed using the domain of false reality can be considered from model to model transformation polylinear linear rule of thumb, and the new measures on asymptotic stability. Simulation results show that the proposed method can make the system asymptotically stable in discrete time. The dual model of strength and EBA also provides flexibility and efficiency in finding solutions for managed systems.

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Paper COI Code

This Paper COI Code is JR_FOMJ-2-2_004. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/1253319/

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If you want to refer to this Paper in your research work, you can simply use the following phrase in the resources section:
Chen, YC Huang, J CY Chen, Tim,1399,Chaotification of Discrete Dynamical Systems Governed by Continuous Maps and Evolved Fuzzy NN Control,https://civilica.com/doc/1253319

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