Fuzzy Differential Equations for Nonlinear System Modeling With Bernstein Neural Networks
With the fuzzy set theory, the uncertainty of nonlinear systems can be modeled using fuzzy differential equations. The solutions of these equations are the model output, but they are very difficult to obtain. In this paper, we first transform fuzzy differential equations into four ordinary different...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2016-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/7807288/ |