Brain emotional learning based adaptive identification method for nonlinear dynamic system

Author

Yong, Hu ; Ziyang, Zhen ; Zhisheng, Wang ; Mingzhi, Geng

Author_Institution

Coll. of Autom. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing

fYear

2008

fDate

2-4 July 2008

Firstpage

3582

Lastpage

3585

Abstract

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.

Keywords

identification; learning (artificial intelligence); nonlinear dynamical systems; adaptive identification method; amygdala-orbitofrontal system; bionic computational model; brain emotional learning; mammalian brain; nonlinear dynamic system; one-axis simulator; Aerodynamics; Automation; Brain modeling; Computational modeling; Educational institutions; Nonlinear dynamical systems; Nonlinear systems; Space technology; System identification; Temporal lobe; Brain Emotional Learning; Nonlinear System; Simulator; System Identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference, 2008. CCDC 2008. Chinese

Conference_Location

Yantai, Shandong

Print_ISBN

978-1-4244-1733-9

Electronic_ISBN

978-1-4244-1734-6

Type

conf

DOI

10.1109/CCDC.2008.4597997

Filename

4597997