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...

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Detalhes bibliográficos

Publicado no:	IEEE Transactions on fuzzy systems 9, 2 (2001).
Autor principal:	Zhang Huaguang
Formato:	Artigo
Idioma:	English
Assuntos:	BP. Backpropagation. Complex systems. Feedforward neural network model. Fuzzy hyperbolic model. Fuzzy rules. Linear system theory. Nonlinear system control. Nonlinear system identification. Nonlinear system modeling. Parameter identification. Stable controller design.