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A novel online identification by brain emotional learning (BEL) for nonlinear dynamic system is proposed in this paper. BEL is a bionic computational model which is inspired by the emotional learning process in the amygdala-orbitofrontal system of the mammalian brain. Online system identification scheme based on BEL is built up, in which BEL is applied to realize the identification of the system in-output by adjusting the learning weights in A-O system adaptively. Simulation results of the system identification of a certain one-axis simulator show that BEL is characterized by fast learning speed and high identification precision.