CHAOS SYNCHRONIZATION USING FUZZY BRAIN EMOTIONAL LEARNING CONTROLLERS
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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