Stabilization of an inverted pendulum system via an SIRM neuro-fuzzy controller
This article presents a new neuro-fuzzy controller to stabilize an inverted pendulum system. The proposed controller consists of the Single Input Rule Modules (SIRMs), the artificial neural network (ANN) and the dynamic importance degrees (DIDs). It simultaneously controls both the angle of the pend...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Prince of Songkla University
2005-01-01
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| Series: | Songklanakarin Journal of Science and Technology (SJST) |
| Subjects: | |
| Online Access: | http://www.sjst.psu.ac.th/journal/27-1-pdf/11neuro-fuzzy.pdf |