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Author:

Zhang Shao-bai (Zhang Shao-bai.) | Ruan Xiao-gang (Ruan Xiao-gang.) | Cheng Xie-feng (Cheng Xie-feng.) | Feng Zhi-quan (Feng Zhi-quan.)

Indexed by:

CPCI-S EI Scopus

Abstract:

A growing cognitive model of motor balance skill, which simulates the manners of human beings and animals in motor balance skill learning, is constructed. A neuro-controller based on the model is proposed to balance an inverted pendulum. The cognitive model, whose architecture is similar to the reflex arc of the biologic nerve, adopts a growing algorithm from reference to Growing Cell Structures in order to perform the pattern classification in the nerve center. This growing mechanism is able to be evolved through the continuous growing of the new nerve cell. And reinforcement Hebbian Synaptic Modification is used as the self-learning method in the cognitive model to make the neurons in difference fields to respond to the different stimulus in the best way. The experimental results are shown that the growing cognitive model can interact autonomously with the environment and develop the motor balance skill by the growing manners of neural system itself.

Keyword:

Inverted Pendulum Growing Cell Structures Cognitive model

Author Community:

  • [ 1 ] [Zhang Shao-bai]Nanjing Univ Posts & Telecommun, Coll Comp, Nanjing 210003, Jiangsu, Peoples R China
  • [ 2 ] [Cheng Xie-feng]Nanjing Univ Posts & Telecommun, Coll Comp, Nanjing 210003, Jiangsu, Peoples R China
  • [ 3 ] [Zhang Shao-bai]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing 100022, Peoples R China
  • [ 4 ] [Ruan Xiao-gang]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing 100022, Peoples R China
  • [ 5 ] [Feng Zhi-quan]Jinan Univ, Sch Informat Sci & Engn, Jinan 250022, Shandong, Peoples R China

Reprint Author's Address:

  • [Zhang Shao-bai]Nanjing Univ Posts & Telecommun, Coll Comp, Nanjing 210003, Jiangsu, Peoples R China

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Source :

CCDC 2009: 21ST CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, PROCEEDINGS

Year: 2009

Page: 4361-,

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

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