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Optimization of a Fuzzy Controller Using Neural Network
| Content Provider | Semantic Scholar |
|---|---|
| Author | Li, Wei |
| Copyright Year | 2004 |
| Abstract | This paper presents a strategy for optimization of a fuzzy logic controller based on a control scheme, which consists of a fuzzy logic (FL) controller and a conventional derivative @) controller. For this purpose, we first choose a set of membership functions regarding change-in-error e ' , which represent the feedback of velocity. Then we optimize them using neural network in self-organizing process. To demonstrate the effectiveness of the proposed method, we report a number of simulation results involving both step and tracking control of a nonlinear plant. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.cs.csubak.edu/~wli/Wei_Li_Pub/IEEE_FUZZ94_Li_1.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Artificial neural network Biological Neural Networks Controllers Flumazenil Fuzzy control system Fuzzy logic Mathematical optimization Neural Network Simulation Nonlinear system Organizing (structure) Self-organization Velocity (software development) |
| Content Type | Text |
| Resource Type | Article |
