Fuzzy Brain Emotional Neural Network for Non-Linear Control Systems

• Main Authors: Praveen Kumar Muthusamy, 帕爾賓
• Other Authors: CHIH-MIN LIN
• Format: Others
• Language: en_US
• Online Access: http://ndltd.ncl.edu.tw/handle/32n7wt

碩士 === 元智大學 === 電機工程學系 === 103 === In this thesis, an intelligent control system based on human brain is proposed for the non-linear systems control. A Fuzzy Brain Emotional Neural Network (FBENN) controller is proposed which has two networks that imitate the functions of amygdala (emotions) and orbitofrontal cortex (cognitive processing), respectively. A type-1 fuzzy brain emotional neural network and a type-2 fuzzy brain emotional neural network controller are proposed as the main controllers. A robust compensator is added to the main controller to guarantee the stability of the system. Finally the proposed controller is applied to the nonlinear systems to illustrate the effectiveness of the proposed design methods.