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Brain emotional learning based adaptive identification method for nonlinear dynamic system

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4 Author(s)
Hu Yong ; Coll. of Autom. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing ; Zhen Ziyang ; Wang Zhisheng ; Geng Mingzhi

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.

Published in:

Control and Decision Conference, 2008. CCDC 2008. Chinese

Date of Conference:

2-4 July 2008