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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Li Zhou Kai Zhao |
| Copyright Year | 2010 |
| Description | Author affiliation: Department of Electronic Engineering, Anhui University of Technology and Science, Wuhu, China (Li Zhou; Kai Zhao) |
| Abstract | General fuzzy controller in the control rules to determine the need, after adjustment, time-consuming and laborious; with a correction factor of fuzzy controller to change the correction factor, the entire control of the table almost affected, would make some point to meet the control requirement has led to some point does not meet the requirements. To solve these problems, proposed a new type of fuzzy controller design method to retain the advantages of the fuzzy controller based on effectively overcome the shortcomings and uses neural network technology to enable the new type of fuzzy controller improved accuracy and robustness. Through simulation studies to verify its excellent properties, and has high control precision, jump smaller advantages. |
| Starting Page | 159 |
| Ending Page | 162 |
| File Size | 631553 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424473878 |
| e-ISBN | 9781424473908 |
| DOI | 10.1109/ESIAT.2010.5568599 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-07-17 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis fuzzy control Fuzzy control Accuracy control precision compromise features Neurons Process control Artificial neural networks Robustness neural network |
| Content Type | Text |
| Resource Type | Article |
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