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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Published in | 2007 IEEE International Conference on Systems, Man and Cybernetics pp. 2402 - 2407 |
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Main Authors | , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.10.2007
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Subjects | |
Online Access | Get full text |
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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. |
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ISBN: | 142440990X 9781424409907 |
ISSN: | 1062-922X 2577-1655 |
DOI: | 10.1109/ICSMC.2007.4413927 |