A fuzzy-neural controller for nonlinear dynamic systems

This paper discusses the possibility of combining the concept of indirect adaptive control and fuzzy logic control with backpropagation neural networks to control nonlinear dynamic systems. Here the neural network was used as an identifier, the indirect adaptive control concept was applied to control the system, and finally the fuzzy logic control technique was used to improve the controller performance. Simulation results show the application of the control scheme to two nonlinear systems of different types of nonlinearity.<
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