Model Reference Adaptive Control Based on Fuzzy Neural Networks
基于模糊神经网络的模型参考自适应控制

In this paper, a new scheme of on-line fuzzy adaptive control is presented. The scheme adopts a fuzzy neural network as controller, and a reference model to give desired closed response, so that the output error of control system can be realtime obtained and used for the modification of membership function parameters of fuzzy controller's input and output variables by gradient descent learning method. The simulation results of inverted pendulum show that the scheme is effective and can adapt the great change of process characteristics.