Modeling, identification, and control of a class of nonlinear systems.
In this paper, we propose a new fuzzy hyperbolic model for a class of complex systems, which is difficult to model. The fuzzy hyperbolic model is a nonlinear model in nature and can be easily derived from a set of fuzzy rules. It can also be seen as a feedforward neural network model and so we can i...
| Опубликовано в:: | IEEE Transactions on fuzzy systems 9, 2 (2001). |
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| Главный автор: | |
| Формат: | Статья |
| Язык: | English |
| Предметы: |