一种模糊神经网络自适应预测控制方案的研究

提出了一种模糊神经网络自适应预测控制方案，对学习公式进行了理论推导，并结合误差补偿以提高预测控制的精度。仿真实验表明，该算法可实现模糊控制和神经网络的优势互补，对非线性复杂系统具备良好的控制性能

Research on the self - adaptive predictive control progra m based on the fuzzy neural Network

In this paper,a self - adaptive control algorithm based on fuzzy neural network has been developed ,and a new learning algorithm was derived theoretically .Based on the error compensation method ,the accuracy of the algorithm was improved .The simulation results show that the algo rithm can obtainthe advantages ofthefuzzysystem and the neural network ,and can have a better performance in con trolling the nonlinear and complex system .