Control of nonlinear systems using a Fuzzy Neural Network

In this paper we present a fuzzy neural network (FNN) for controlling single-input single-output nonlinear affine system. The proposed fuzzy neural network controller feedback linearizes the nonlinear control system. The tracking performance is achieved by a state feedback controller based on the fu...

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Bibliographic Details
Main Authors: Ching-Hong Lee, Ching-Cheng Teng
Format: Conference Proceeding
Language:English
Subjects:
Control systems
Fuzzy control
Fuzzy neural networks
Linear feedback control systems
Neural networks
Neurofeedback
Nonlinear control systems
Nonlinear systems
Stability analysis
State feedback
Online Access:Request full text
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Description
Summary:In this paper we present a fuzzy neural network (FNN) for controlling single-input single-output nonlinear affine system. The proposed fuzzy neural network controller feedback linearizes the nonlinear control system. The tracking performance is achieved by a state feedback controller based on the fuzzy neural network, even though the nonlinear system is unknown.
DOI:10.1109/AFSS.1996.583554