CHAOS SYNCHRONIZATION USING FUZZY BRAIN EMOTIONAL LEARNING CONTROLLERS

  • Pham Duc Hung Hung Yen University of Technology and Education
  • Huynh Tuan Tu Lac Hong University, Bien Hoa
  • Nguyen Viet Ngu Hung Yen University of Technology and Education
  • Le Thi Minh Tam Hung Yen University of Technology and Education
Keywords: Fuzzy inference system, brain emotional learning controller, cerebellar model articulation controller, 4-D Lorentz-Stenflo chaotic system

Abstract

This study poses a new efficient control system based on two types of networks that are a fuzzy brain emotional learning control (BELC) network and fuzzy cerebellar model articulation control (CMAC) network. The proposed control system, FBCC (fuzzy BELC and fuzzy CMAC), has the advantages of fuzzy inference systems, the ability of making decision, and the emotional activity. In order to demonstrate the effectiveness of the proposed control method, the simulation results of a 4-dimensional (4D) Lorentz-Stenflo chaotic system is used, and a comparison between the proposed FBCC and other controllers shows that the proposed control system achieves better control performance.

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Published
2021-01-06
How to Cite
Pham Duc Hung, Huynh Tuan Tu, Nguyen Viet Ngu, & Le Thi Minh Tam. (2021). CHAOS SYNCHRONIZATION USING FUZZY BRAIN EMOTIONAL LEARNING CONTROLLERS. UTEHY Journal of Science and Technology, 28, 54-60. Retrieved from https://tapchi.utehy.edu.vn/index.php/jst/article/view/409