Modeling, identification, and control of a class of nonlinear systems.

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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Bibliographic Details
Published in:IEEE Transactions on fuzzy systems 9, 2 (2001).
Main Author: Zhang Huaguang
Format: Article
Language:English
Subjects:
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.