Reinforcement Based Fuzzy Neural Network Control with Automatic Rule Generation

WU Gengfeng; FU Zhongqian

doi:10.3969/j.issn.1000-8152.2001.02.018

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DOI: 10.3969/j.issn.1000-8152.2001.02.018

Reinforcement Based Fuzzy Neural Network Control with Automatic Rule Generation

WU Gengfeng

FU Zhongqian

Abstract：A reinforcement based fuzzy neural network controller (RBFNNC) is proposed. A set of optimised fuzzy control rules can be automatically generated through reinforcement learning based on the state variables of object system. RBFNNC was applied to a cart-pole balancing system and shows significant improvements on the rule generation.

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Publication Date：2001-01-01

Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)

Pages：5( 241-244，248 )

CONTROL THEOR &APPLICATIONS

PKUISTICEI

ISSN：1000-8152

Year, Vol.(Issue)：2001,18(2)