Remarks on hybrid neural network controller using different convergence speeds

A neural network requires the partial derivative of a plant output with regard to its input. However, it is unknown for an unknown nonlinear plant. This paper proposes a hybrid neural network controller which overcomes this problem and which compensates online neural networks for plant fluctuation by using an identifier and a controller with different convergence speeds