Fuzzy self-tuning of parameters online for human simulated intelligent controller

Using fuzzy logic rules, a self-tuning structure for the self-tuning level of a human simulated intelligent controller (HSIC) has been designed. This structure has fuzzy self-tuning abilities in the swing-up control of a cart-double pendulum system. It efficiently accomplishes the online self-tuning...

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Bibliographic Details
Published in2007 IEEE International Conference on Systems, Man and Cybernetics pp. 2402 - 2407
Main Authors Zushu Li, Dongwu Liang, Guiqiang Chen
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2007
Subjects
Cart-double pendulum system
Computational modeling
Computer simulation
Control systems
Fuzzy control
Fuzzy logic
Fuzzy logic rule
Fuzzy systems
Human simulated intelligent control
Humans
Intelligent structures
Parameter self-tuning online
Real time systems
Robust control
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Summary:Using fuzzy logic rules, a self-tuning structure for the self-tuning level of a human simulated intelligent controller (HSIC) has been designed. This structure has fuzzy self-tuning abilities in the swing-up control of a cart-double pendulum system. It efficiently accomplishes the online self-tuning of the control parameters of a HSIC with hierarchical and multi-mode control structure. The computer simulation and real-time experiments of the swing-up control of a cart-double pendulum system show that the online fuzzy self-tuning of the control parameters markedly enhances the robustness and adaptability of the HSIC.
ISBN:142440990X
9781424409907
ISSN:1062-922X
2577-1655
DOI:10.1109/ICSMC.2007.4413927